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CREATE TABLE world_development_indicators (CountryCode text, ShortName text, TableName text, LongName text, Alpha2Code text, CurrencyUnit text, SpecialNotes text, Region text, IncomeGroup text, Wb2Code text, NationalAccountsBaseYear text, NationalAccountsReferenceYear text, SnaPriceValuation text, LendingCategory text, OtherGroups text, SystemOfNationalAccounts text, AlternativeConversionFactor text, PppSurveyYear text, BalanceOfPaymentsManualInUse text, ExternalDebtReportingStatus text, SystemOfTrade text, GovernmentAccountingConcept text, ImfDataDisseminationStandard text, LatestPopulationCensus text, LatestHouseholdSurvey text, SourceOfMostRecentIncomeAndExpenditureData text, VitalRegistrationComplete text, LatestAgriculturalCensus text, LatestIndustrialData integer, LatestTradeData integer, LatestWaterWithdrawalData integer, SeriesCode text, Topic text, IndicatorName text, ShortDefinition text, LongDefinition text, UnitOfMeasure text, Periodicity text, BasePeriod text, OtherNotes integer, AggregationMethod text, LimitationsAndExceptions text, NotesFromOriginalSource text, GeneralComments text, Source text, StatisticalConceptAndMethodology text, DevelopmentRelevance text, RelatedSourceLinks text, OtherWebLinks integer, RelatedIndicators integer, LicenseType text, Countrycode text, Seriescode text, Description text, Countrycode text, Seriescode text, Year text, Description text, CountryName text, CountryCode text, IndicatorName text, IndicatorCode text, Year integer, Value integer, Seriescode text, Year text, Description text) | What is the lending category of the country with a cereal production of 6140000 metric tons for the year 1966? | SELECT T1.LendingCategory FROM Country AS T1 INNER JOIN Indicators AS T2 ON T1.CountryCode = T2.CountryCode WHERE T2.IndicatorName = 'Cereal production (metric tons)' AND T2.Value = 6140000 AND T2.Year = 1966 | bird |
CREATE TABLE world_development_indicators (CountryCode text, ShortName text, TableName text, LongName text, Alpha2Code text, CurrencyUnit text, SpecialNotes text, Region text, IncomeGroup text, Wb2Code text, NationalAccountsBaseYear text, NationalAccountsReferenceYear text, SnaPriceValuation text, LendingCategory text, OtherGroups text, SystemOfNationalAccounts text, AlternativeConversionFactor text, PppSurveyYear text, BalanceOfPaymentsManualInUse text, ExternalDebtReportingStatus text, SystemOfTrade text, GovernmentAccountingConcept text, ImfDataDisseminationStandard text, LatestPopulationCensus text, LatestHouseholdSurvey text, SourceOfMostRecentIncomeAndExpenditureData text, VitalRegistrationComplete text, LatestAgriculturalCensus text, LatestIndustrialData integer, LatestTradeData integer, LatestWaterWithdrawalData integer, SeriesCode text, Topic text, IndicatorName text, ShortDefinition text, LongDefinition text, UnitOfMeasure text, Periodicity text, BasePeriod text, OtherNotes integer, AggregationMethod text, LimitationsAndExceptions text, NotesFromOriginalSource text, GeneralComments text, Source text, StatisticalConceptAndMethodology text, DevelopmentRelevance text, RelatedSourceLinks text, OtherWebLinks integer, RelatedIndicators integer, LicenseType text, Countrycode text, Seriescode text, Description text, Countrycode text, Seriescode text, Year text, Description text, CountryName text, CountryCode text, IndicatorName text, IndicatorCode text, Year integer, Value integer, Seriescode text, Year text, Description text) | Which country has the highest population in largest city for 19 consecutive years starting from 1960? Indicate the region to which the country is located. | SELECT T2.CountryCode, T2.Region FROM Indicators AS T1 INNER JOIN Country AS T2 ON T1.CountryCode = T2.CountryCode WHERE T1.IndicatorName = 'Population in largest city' AND T1.Year >= 1960 AND T1.Year < 1980 ORDER BY T2.Region DESC LIMIT 1 | bird |
CREATE TABLE world_development_indicators (CountryCode text, ShortName text, TableName text, LongName text, Alpha2Code text, CurrencyUnit text, SpecialNotes text, Region text, IncomeGroup text, Wb2Code text, NationalAccountsBaseYear text, NationalAccountsReferenceYear text, SnaPriceValuation text, LendingCategory text, OtherGroups text, SystemOfNationalAccounts text, AlternativeConversionFactor text, PppSurveyYear text, BalanceOfPaymentsManualInUse text, ExternalDebtReportingStatus text, SystemOfTrade text, GovernmentAccountingConcept text, ImfDataDisseminationStandard text, LatestPopulationCensus text, LatestHouseholdSurvey text, SourceOfMostRecentIncomeAndExpenditureData text, VitalRegistrationComplete text, LatestAgriculturalCensus text, LatestIndustrialData integer, LatestTradeData integer, LatestWaterWithdrawalData integer, SeriesCode text, Topic text, IndicatorName text, ShortDefinition text, LongDefinition text, UnitOfMeasure text, Periodicity text, BasePeriod text, OtherNotes integer, AggregationMethod text, LimitationsAndExceptions text, NotesFromOriginalSource text, GeneralComments text, Source text, StatisticalConceptAndMethodology text, DevelopmentRelevance text, RelatedSourceLinks text, OtherWebLinks integer, RelatedIndicators integer, LicenseType text, Countrycode text, Seriescode text, Description text, Countrycode text, Seriescode text, Year text, Description text, CountryName text, CountryCode text, IndicatorName text, IndicatorCode text, Year integer, Value integer, Seriescode text, Year text, Description text) | From 1975 to 1980, how much is the total amount CO2 emmission in kiloton of the the world? Indicate which year the world recorded its highest CO2 emmissions. | SELECT SUM(T1.Value), T1.Year FROM Indicators AS T1 INNER JOIN Country AS T2 ON T1.CountryCode = T2.CountryCode WHERE T1.IndicatorName = 'CO2 emissions (kt)' AND T1.Year >= 1975 AND T1.Year < 1981 AND T1.CountryCode = 'WLD' AND T2.SpecialNotes = 'World aggregate.' | bird |
CREATE TABLE world_development_indicators (CountryCode text, ShortName text, TableName text, LongName text, Alpha2Code text, CurrencyUnit text, SpecialNotes text, Region text, IncomeGroup text, Wb2Code text, NationalAccountsBaseYear text, NationalAccountsReferenceYear text, SnaPriceValuation text, LendingCategory text, OtherGroups text, SystemOfNationalAccounts text, AlternativeConversionFactor text, PppSurveyYear text, BalanceOfPaymentsManualInUse text, ExternalDebtReportingStatus text, SystemOfTrade text, GovernmentAccountingConcept text, ImfDataDisseminationStandard text, LatestPopulationCensus text, LatestHouseholdSurvey text, SourceOfMostRecentIncomeAndExpenditureData text, VitalRegistrationComplete text, LatestAgriculturalCensus text, LatestIndustrialData integer, LatestTradeData integer, LatestWaterWithdrawalData integer, SeriesCode text, Topic text, IndicatorName text, ShortDefinition text, LongDefinition text, UnitOfMeasure text, Periodicity text, BasePeriod text, OtherNotes integer, AggregationMethod text, LimitationsAndExceptions text, NotesFromOriginalSource text, GeneralComments text, Source text, StatisticalConceptAndMethodology text, DevelopmentRelevance text, RelatedSourceLinks text, OtherWebLinks integer, RelatedIndicators integer, LicenseType text, Countrycode text, Seriescode text, Description text, Countrycode text, Seriescode text, Year text, Description text, CountryName text, CountryCode text, IndicatorName text, IndicatorCode text, Year integer, Value integer, Seriescode text, Year text, Description text) | Which country has the smallest land area in square kilometers for 19 consecutive years starting from year 1961? Indicate how much is its land area in square kilometers in those years and the income group of the country. | SELECT T1.CountryName, SUM(T1.Value) area, T2.IncomeGroup FROM Indicators AS T1 INNER JOIN Country AS T2 ON T1.CountryCode = T2.CountryCode WHERE T1.IndicatorName = 'Land area (sq. km)' AND T1.Year >= 1961 AND T1.Year < 1980 GROUP BY T1.CountryCode ORDER BY SUM(T1.Value) ASC LIMIT 1 | bird |
CREATE TABLE world_development_indicators (CountryCode text, ShortName text, TableName text, LongName text, Alpha2Code text, CurrencyUnit text, SpecialNotes text, Region text, IncomeGroup text, Wb2Code text, NationalAccountsBaseYear text, NationalAccountsReferenceYear text, SnaPriceValuation text, LendingCategory text, OtherGroups text, SystemOfNationalAccounts text, AlternativeConversionFactor text, PppSurveyYear text, BalanceOfPaymentsManualInUse text, ExternalDebtReportingStatus text, SystemOfTrade text, GovernmentAccountingConcept text, ImfDataDisseminationStandard text, LatestPopulationCensus text, LatestHouseholdSurvey text, SourceOfMostRecentIncomeAndExpenditureData text, VitalRegistrationComplete text, LatestAgriculturalCensus text, LatestIndustrialData integer, LatestTradeData integer, LatestWaterWithdrawalData integer, SeriesCode text, Topic text, IndicatorName text, ShortDefinition text, LongDefinition text, UnitOfMeasure text, Periodicity text, BasePeriod text, OtherNotes integer, AggregationMethod text, LimitationsAndExceptions text, NotesFromOriginalSource text, GeneralComments text, Source text, StatisticalConceptAndMethodology text, DevelopmentRelevance text, RelatedSourceLinks text, OtherWebLinks integer, RelatedIndicators integer, LicenseType text, Countrycode text, Seriescode text, Description text, Countrycode text, Seriescode text, Year text, Description text, CountryName text, CountryCode text, IndicatorName text, IndicatorCode text, Year integer, Value integer, Seriescode text, Year text, Description text) | What is the average number of passengers carried via air transport per year by Bulgaria between 1970 to 1980? Indicate the country's system of trade. | SELECT AVG(T1.Value), T2.SystemOfTrade FROM Indicators AS T1 INNER JOIN Country AS T2 ON T1.CountryCode = T2.CountryCode WHERE T1.IndicatorName = 'Air transport, passengers carried' AND T1.Year >= 1970 AND T1.Year < 1981 AND T1.CountryName = 'Bulgaria' | bird |
CREATE TABLE world_development_indicators (CountryCode text, ShortName text, TableName text, LongName text, Alpha2Code text, CurrencyUnit text, SpecialNotes text, Region text, IncomeGroup text, Wb2Code text, NationalAccountsBaseYear text, NationalAccountsReferenceYear text, SnaPriceValuation text, LendingCategory text, OtherGroups text, SystemOfNationalAccounts text, AlternativeConversionFactor text, PppSurveyYear text, BalanceOfPaymentsManualInUse text, ExternalDebtReportingStatus text, SystemOfTrade text, GovernmentAccountingConcept text, ImfDataDisseminationStandard text, LatestPopulationCensus text, LatestHouseholdSurvey text, SourceOfMostRecentIncomeAndExpenditureData text, VitalRegistrationComplete text, LatestAgriculturalCensus text, LatestIndustrialData integer, LatestTradeData integer, LatestWaterWithdrawalData integer, SeriesCode text, Topic text, IndicatorName text, ShortDefinition text, LongDefinition text, UnitOfMeasure text, Periodicity text, BasePeriod text, OtherNotes integer, AggregationMethod text, LimitationsAndExceptions text, NotesFromOriginalSource text, GeneralComments text, Source text, StatisticalConceptAndMethodology text, DevelopmentRelevance text, RelatedSourceLinks text, OtherWebLinks integer, RelatedIndicators integer, LicenseType text, Countrycode text, Seriescode text, Description text, Countrycode text, Seriescode text, Year text, Description text, CountryName text, CountryCode text, IndicatorName text, IndicatorCode text, Year integer, Value integer, Seriescode text, Year text, Description text) | What's the lastest household survey in Angola and when did it take place? | SELECT LatestHouseholdSurvey, PppSurveyYear FROM Country WHERE ShortName = 'Angola' | bird |
CREATE TABLE world_development_indicators (CountryCode text, ShortName text, TableName text, LongName text, Alpha2Code text, CurrencyUnit text, SpecialNotes text, Region text, IncomeGroup text, Wb2Code text, NationalAccountsBaseYear text, NationalAccountsReferenceYear text, SnaPriceValuation text, LendingCategory text, OtherGroups text, SystemOfNationalAccounts text, AlternativeConversionFactor text, PppSurveyYear text, BalanceOfPaymentsManualInUse text, ExternalDebtReportingStatus text, SystemOfTrade text, GovernmentAccountingConcept text, ImfDataDisseminationStandard text, LatestPopulationCensus text, LatestHouseholdSurvey text, SourceOfMostRecentIncomeAndExpenditureData text, VitalRegistrationComplete text, LatestAgriculturalCensus text, LatestIndustrialData integer, LatestTradeData integer, LatestWaterWithdrawalData integer, SeriesCode text, Topic text, IndicatorName text, ShortDefinition text, LongDefinition text, UnitOfMeasure text, Periodicity text, BasePeriod text, OtherNotes integer, AggregationMethod text, LimitationsAndExceptions text, NotesFromOriginalSource text, GeneralComments text, Source text, StatisticalConceptAndMethodology text, DevelopmentRelevance text, RelatedSourceLinks text, OtherWebLinks integer, RelatedIndicators integer, LicenseType text, Countrycode text, Seriescode text, Description text, Countrycode text, Seriescode text, Year text, Description text, CountryName text, CountryCode text, IndicatorName text, IndicatorCode text, Year integer, Value integer, Seriescode text, Year text, Description text) | How many countries in the North America Region has completed the vital registration? | SELECT COUNT(CountryCode) FROM Country WHERE VitalRegistrationComplete = 'Yes' AND Region = 'North America' | bird |
CREATE TABLE world_development_indicators (CountryCode text, ShortName text, TableName text, LongName text, Alpha2Code text, CurrencyUnit text, SpecialNotes text, Region text, IncomeGroup text, Wb2Code text, NationalAccountsBaseYear text, NationalAccountsReferenceYear text, SnaPriceValuation text, LendingCategory text, OtherGroups text, SystemOfNationalAccounts text, AlternativeConversionFactor text, PppSurveyYear text, BalanceOfPaymentsManualInUse text, ExternalDebtReportingStatus text, SystemOfTrade text, GovernmentAccountingConcept text, ImfDataDisseminationStandard text, LatestPopulationCensus text, LatestHouseholdSurvey text, SourceOfMostRecentIncomeAndExpenditureData text, VitalRegistrationComplete text, LatestAgriculturalCensus text, LatestIndustrialData integer, LatestTradeData integer, LatestWaterWithdrawalData integer, SeriesCode text, Topic text, IndicatorName text, ShortDefinition text, LongDefinition text, UnitOfMeasure text, Periodicity text, BasePeriod text, OtherNotes integer, AggregationMethod text, LimitationsAndExceptions text, NotesFromOriginalSource text, GeneralComments text, Source text, StatisticalConceptAndMethodology text, DevelopmentRelevance text, RelatedSourceLinks text, OtherWebLinks integer, RelatedIndicators integer, LicenseType text, Countrycode text, Seriescode text, Description text, Countrycode text, Seriescode text, Year text, Description text, CountryName text, CountryCode text, IndicatorName text, IndicatorCode text, Year integer, Value integer, Seriescode text, Year text, Description text) | In which years does the country whose Alpha2Code is 1A have a result of the indicator Adolescent fertility rate? | SELECT T2.Year FROM Country AS T1 INNER JOIN Indicators AS T2 ON T1.CountryCode = T2.CountryCode WHERE T1.Alpha2Code = '1A' AND T2.IndicatorName = 'Adolescent fertility rate (births per 1,000 women ages 15-19)' | bird |
CREATE TABLE world_development_indicators (CountryCode text, ShortName text, TableName text, LongName text, Alpha2Code text, CurrencyUnit text, SpecialNotes text, Region text, IncomeGroup text, Wb2Code text, NationalAccountsBaseYear text, NationalAccountsReferenceYear text, SnaPriceValuation text, LendingCategory text, OtherGroups text, SystemOfNationalAccounts text, AlternativeConversionFactor text, PppSurveyYear text, BalanceOfPaymentsManualInUse text, ExternalDebtReportingStatus text, SystemOfTrade text, GovernmentAccountingConcept text, ImfDataDisseminationStandard text, LatestPopulationCensus text, LatestHouseholdSurvey text, SourceOfMostRecentIncomeAndExpenditureData text, VitalRegistrationComplete text, LatestAgriculturalCensus text, LatestIndustrialData integer, LatestTradeData integer, LatestWaterWithdrawalData integer, SeriesCode text, Topic text, IndicatorName text, ShortDefinition text, LongDefinition text, UnitOfMeasure text, Periodicity text, BasePeriod text, OtherNotes integer, AggregationMethod text, LimitationsAndExceptions text, NotesFromOriginalSource text, GeneralComments text, Source text, StatisticalConceptAndMethodology text, DevelopmentRelevance text, RelatedSourceLinks text, OtherWebLinks integer, RelatedIndicators integer, LicenseType text, Countrycode text, Seriescode text, Description text, Countrycode text, Seriescode text, Year text, Description text, CountryName text, CountryCode text, IndicatorName text, IndicatorCode text, Year integer, Value integer, Seriescode text, Year text, Description text) | What's the long name of the country that got 3000000 on the indicator Arms exports in 1960? | SELECT T1.LongName FROM Country AS T1 INNER JOIN Indicators AS T2 ON T1.CountryCode = T2.CountryCode WHERE T2.IndicatorName = 'Arms exports (SIPRI trend indicator values)' AND T2.Year = 1960 AND T2.Value = 3000000 | bird |
CREATE TABLE world_development_indicators (CountryCode text, ShortName text, TableName text, LongName text, Alpha2Code text, CurrencyUnit text, SpecialNotes text, Region text, IncomeGroup text, Wb2Code text, NationalAccountsBaseYear text, NationalAccountsReferenceYear text, SnaPriceValuation text, LendingCategory text, OtherGroups text, SystemOfNationalAccounts text, AlternativeConversionFactor text, PppSurveyYear text, BalanceOfPaymentsManualInUse text, ExternalDebtReportingStatus text, SystemOfTrade text, GovernmentAccountingConcept text, ImfDataDisseminationStandard text, LatestPopulationCensus text, LatestHouseholdSurvey text, SourceOfMostRecentIncomeAndExpenditureData text, VitalRegistrationComplete text, LatestAgriculturalCensus text, LatestIndustrialData integer, LatestTradeData integer, LatestWaterWithdrawalData integer, SeriesCode text, Topic text, IndicatorName text, ShortDefinition text, LongDefinition text, UnitOfMeasure text, Periodicity text, BasePeriod text, OtherNotes integer, AggregationMethod text, LimitationsAndExceptions text, NotesFromOriginalSource text, GeneralComments text, Source text, StatisticalConceptAndMethodology text, DevelopmentRelevance text, RelatedSourceLinks text, OtherWebLinks integer, RelatedIndicators integer, LicenseType text, Countrycode text, Seriescode text, Description text, Countrycode text, Seriescode text, Year text, Description text, CountryName text, CountryCode text, IndicatorName text, IndicatorCode text, Year integer, Value integer, Seriescode text, Year text, Description text) | Please list the Alpha2Codes of all the countries that have an indicator on Rural population in 1960. | SELECT T1.Alpha2Code FROM Country AS T1 INNER JOIN Indicators AS T2 ON T1.CountryCode = T2.CountryCode WHERE T2.IndicatorName = 'Rural population' AND T2.Year = 1960 | bird |
CREATE TABLE world_development_indicators (CountryCode text, ShortName text, TableName text, LongName text, Alpha2Code text, CurrencyUnit text, SpecialNotes text, Region text, IncomeGroup text, Wb2Code text, NationalAccountsBaseYear text, NationalAccountsReferenceYear text, SnaPriceValuation text, LendingCategory text, OtherGroups text, SystemOfNationalAccounts text, AlternativeConversionFactor text, PppSurveyYear text, BalanceOfPaymentsManualInUse text, ExternalDebtReportingStatus text, SystemOfTrade text, GovernmentAccountingConcept text, ImfDataDisseminationStandard text, LatestPopulationCensus text, LatestHouseholdSurvey text, SourceOfMostRecentIncomeAndExpenditureData text, VitalRegistrationComplete text, LatestAgriculturalCensus text, LatestIndustrialData integer, LatestTradeData integer, LatestWaterWithdrawalData integer, SeriesCode text, Topic text, IndicatorName text, ShortDefinition text, LongDefinition text, UnitOfMeasure text, Periodicity text, BasePeriod text, OtherNotes integer, AggregationMethod text, LimitationsAndExceptions text, NotesFromOriginalSource text, GeneralComments text, Source text, StatisticalConceptAndMethodology text, DevelopmentRelevance text, RelatedSourceLinks text, OtherWebLinks integer, RelatedIndicators integer, LicenseType text, Countrycode text, Seriescode text, Description text, Countrycode text, Seriescode text, Year text, Description text, CountryName text, CountryCode text, IndicatorName text, IndicatorCode text, Year integer, Value integer, Seriescode text, Year text, Description text) | Which country's indicator for Adolescent fertility rate is the highest in 1960, please give its special notes. | SELECT DISTINCT T1.CountryCode, T1.SpecialNotes FROM Country AS T1 INNER JOIN Indicators AS T2 ON T1.CountryCode = T2.CountryCode WHERE T2.Value = ( SELECT Value FROM Indicators WHERE IndicatorName = 'Adolescent fertility rate (births per 1,000 women ages 15-19)' AND Year = 1960 ORDER BY Value DESC LIMIT 1 ) | bird |
CREATE TABLE world_development_indicators (CountryCode text, ShortName text, TableName text, LongName text, Alpha2Code text, CurrencyUnit text, SpecialNotes text, Region text, IncomeGroup text, Wb2Code text, NationalAccountsBaseYear text, NationalAccountsReferenceYear text, SnaPriceValuation text, LendingCategory text, OtherGroups text, SystemOfNationalAccounts text, AlternativeConversionFactor text, PppSurveyYear text, BalanceOfPaymentsManualInUse text, ExternalDebtReportingStatus text, SystemOfTrade text, GovernmentAccountingConcept text, ImfDataDisseminationStandard text, LatestPopulationCensus text, LatestHouseholdSurvey text, SourceOfMostRecentIncomeAndExpenditureData text, VitalRegistrationComplete text, LatestAgriculturalCensus text, LatestIndustrialData integer, LatestTradeData integer, LatestWaterWithdrawalData integer, SeriesCode text, Topic text, IndicatorName text, ShortDefinition text, LongDefinition text, UnitOfMeasure text, Periodicity text, BasePeriod text, OtherNotes integer, AggregationMethod text, LimitationsAndExceptions text, NotesFromOriginalSource text, GeneralComments text, Source text, StatisticalConceptAndMethodology text, DevelopmentRelevance text, RelatedSourceLinks text, OtherWebLinks integer, RelatedIndicators integer, LicenseType text, Countrycode text, Seriescode text, Description text, Countrycode text, Seriescode text, Year text, Description text, CountryName text, CountryCode text, IndicatorName text, IndicatorCode text, Year integer, Value integer, Seriescode text, Year text, Description text) | By how much did the indicator on Adolescent fertility rate increase from 1960 to 1961 in the country whose Alpha2Code is 1A? | SELECT ( SELECT T2.Value FROM Country AS T1 INNER JOIN Indicators AS T2 ON T1.CountryCode = T2.CountryCode WHERE T1.Alpha2Code = '1A' AND T2.IndicatorName = 'Adolescent fertility rate (births per 1,000 women ages 15-19)' AND T2.Year = 1961 ) - ( SELECT T2.Value FROM Country AS T1 INNER JOIN Indicators AS T2 ON T1.CountryCode = T2.CountryCode WHERE T1.Alpha2Code = '1A' AND T2.IndicatorName = 'Adolescent fertility rate (births per 1,000 women ages 15-19)' AND T2.Year = 1960 ) DIFF | bird |
CREATE TABLE world_development_indicators (CountryCode text, ShortName text, TableName text, LongName text, Alpha2Code text, CurrencyUnit text, SpecialNotes text, Region text, IncomeGroup text, Wb2Code text, NationalAccountsBaseYear text, NationalAccountsReferenceYear text, SnaPriceValuation text, LendingCategory text, OtherGroups text, SystemOfNationalAccounts text, AlternativeConversionFactor text, PppSurveyYear text, BalanceOfPaymentsManualInUse text, ExternalDebtReportingStatus text, SystemOfTrade text, GovernmentAccountingConcept text, ImfDataDisseminationStandard text, LatestPopulationCensus text, LatestHouseholdSurvey text, SourceOfMostRecentIncomeAndExpenditureData text, VitalRegistrationComplete text, LatestAgriculturalCensus text, LatestIndustrialData integer, LatestTradeData integer, LatestWaterWithdrawalData integer, SeriesCode text, Topic text, IndicatorName text, ShortDefinition text, LongDefinition text, UnitOfMeasure text, Periodicity text, BasePeriod text, OtherNotes integer, AggregationMethod text, LimitationsAndExceptions text, NotesFromOriginalSource text, GeneralComments text, Source text, StatisticalConceptAndMethodology text, DevelopmentRelevance text, RelatedSourceLinks text, OtherWebLinks integer, RelatedIndicators integer, LicenseType text, Countrycode text, Seriescode text, Description text, Countrycode text, Seriescode text, Year text, Description text, CountryName text, CountryCode text, IndicatorName text, IndicatorCode text, Year integer, Value integer, Seriescode text, Year text, Description text) | What is the note for Australia on the indicator SP.ADO.TFRT? | SELECT T2.Description FROM Country AS T1 INNER JOIN CountryNotes AS T2 ON T1.CountryCode = T2.Countrycode WHERE T2.Seriescode = 'SP.ADO.TFRT' AND T1.ShortName = 'Australia' | bird |
CREATE TABLE world_development_indicators (CountryCode text, ShortName text, TableName text, LongName text, Alpha2Code text, CurrencyUnit text, SpecialNotes text, Region text, IncomeGroup text, Wb2Code text, NationalAccountsBaseYear text, NationalAccountsReferenceYear text, SnaPriceValuation text, LendingCategory text, OtherGroups text, SystemOfNationalAccounts text, AlternativeConversionFactor text, PppSurveyYear text, BalanceOfPaymentsManualInUse text, ExternalDebtReportingStatus text, SystemOfTrade text, GovernmentAccountingConcept text, ImfDataDisseminationStandard text, LatestPopulationCensus text, LatestHouseholdSurvey text, SourceOfMostRecentIncomeAndExpenditureData text, VitalRegistrationComplete text, LatestAgriculturalCensus text, LatestIndustrialData integer, LatestTradeData integer, LatestWaterWithdrawalData integer, SeriesCode text, Topic text, IndicatorName text, ShortDefinition text, LongDefinition text, UnitOfMeasure text, Periodicity text, BasePeriod text, OtherNotes integer, AggregationMethod text, LimitationsAndExceptions text, NotesFromOriginalSource text, GeneralComments text, Source text, StatisticalConceptAndMethodology text, DevelopmentRelevance text, RelatedSourceLinks text, OtherWebLinks integer, RelatedIndicators integer, LicenseType text, Countrycode text, Seriescode text, Description text, Countrycode text, Seriescode text, Year text, Description text, CountryName text, CountryCode text, IndicatorName text, IndicatorCode text, Year integer, Value integer, Seriescode text, Year text, Description text) | Please list the notes for Aruba on the indicators under the topic of Environment: Energy production & use. | SELECT T2.Description FROM Country AS T1 INNER JOIN CountryNotes AS T2 ON T1.CountryCode = T2.Countrycode INNER JOIN Series AS T3 ON T2.Seriescode = T3.SeriesCode WHERE T1.ShortName = 'Aruba' AND T3.Topic = 'Environment: Energy production & use' | bird |
CREATE TABLE world_development_indicators (CountryCode text, ShortName text, TableName text, LongName text, Alpha2Code text, CurrencyUnit text, SpecialNotes text, Region text, IncomeGroup text, Wb2Code text, NationalAccountsBaseYear text, NationalAccountsReferenceYear text, SnaPriceValuation text, LendingCategory text, OtherGroups text, SystemOfNationalAccounts text, AlternativeConversionFactor text, PppSurveyYear text, BalanceOfPaymentsManualInUse text, ExternalDebtReportingStatus text, SystemOfTrade text, GovernmentAccountingConcept text, ImfDataDisseminationStandard text, LatestPopulationCensus text, LatestHouseholdSurvey text, SourceOfMostRecentIncomeAndExpenditureData text, VitalRegistrationComplete text, LatestAgriculturalCensus text, LatestIndustrialData integer, LatestTradeData integer, LatestWaterWithdrawalData integer, SeriesCode text, Topic text, IndicatorName text, ShortDefinition text, LongDefinition text, UnitOfMeasure text, Periodicity text, BasePeriod text, OtherNotes integer, AggregationMethod text, LimitationsAndExceptions text, NotesFromOriginalSource text, GeneralComments text, Source text, StatisticalConceptAndMethodology text, DevelopmentRelevance text, RelatedSourceLinks text, OtherWebLinks integer, RelatedIndicators integer, LicenseType text, Countrycode text, Seriescode text, Description text, Countrycode text, Seriescode text, Year text, Description text, CountryName text, CountryCode text, IndicatorName text, IndicatorCode text, Year integer, Value integer, Seriescode text, Year text, Description text) | Which countries have notes on the indicator BX.KLT.DINV.CD.WD? | SELECT T1.ShortName FROM Country AS T1 INNER JOIN CountryNotes AS T2 ON T1.CountryCode = T2.Countrycode INNER JOIN Series AS T3 ON T2.Seriescode = T3.SeriesCode WHERE T3.Seriescode = 'BX.KLT.DINV.CD.WD' | bird |
CREATE TABLE world_development_indicators (CountryCode text, ShortName text, TableName text, LongName text, Alpha2Code text, CurrencyUnit text, SpecialNotes text, Region text, IncomeGroup text, Wb2Code text, NationalAccountsBaseYear text, NationalAccountsReferenceYear text, SnaPriceValuation text, LendingCategory text, OtherGroups text, SystemOfNationalAccounts text, AlternativeConversionFactor text, PppSurveyYear text, BalanceOfPaymentsManualInUse text, ExternalDebtReportingStatus text, SystemOfTrade text, GovernmentAccountingConcept text, ImfDataDisseminationStandard text, LatestPopulationCensus text, LatestHouseholdSurvey text, SourceOfMostRecentIncomeAndExpenditureData text, VitalRegistrationComplete text, LatestAgriculturalCensus text, LatestIndustrialData integer, LatestTradeData integer, LatestWaterWithdrawalData integer, SeriesCode text, Topic text, IndicatorName text, ShortDefinition text, LongDefinition text, UnitOfMeasure text, Periodicity text, BasePeriod text, OtherNotes integer, AggregationMethod text, LimitationsAndExceptions text, NotesFromOriginalSource text, GeneralComments text, Source text, StatisticalConceptAndMethodology text, DevelopmentRelevance text, RelatedSourceLinks text, OtherWebLinks integer, RelatedIndicators integer, LicenseType text, Countrycode text, Seriescode text, Description text, Countrycode text, Seriescode text, Year text, Description text, CountryName text, CountryCode text, IndicatorName text, IndicatorCode text, Year integer, Value integer, Seriescode text, Year text, Description text) | For the country that has notes on the indicator Inflation, consumer prices, in which region is it in? | SELECT T1.Region FROM Country AS T1 INNER JOIN CountryNotes AS T2 ON T1.CountryCode = T2.Countrycode INNER JOIN Series AS T3 ON T2.Seriescode = T3.SeriesCode WHERE T3.IndicatorName = 'Inflation, consumer prices (annual %)' | bird |
CREATE TABLE world_development_indicators (CountryCode text, ShortName text, TableName text, LongName text, Alpha2Code text, CurrencyUnit text, SpecialNotes text, Region text, IncomeGroup text, Wb2Code text, NationalAccountsBaseYear text, NationalAccountsReferenceYear text, SnaPriceValuation text, LendingCategory text, OtherGroups text, SystemOfNationalAccounts text, AlternativeConversionFactor text, PppSurveyYear text, BalanceOfPaymentsManualInUse text, ExternalDebtReportingStatus text, SystemOfTrade text, GovernmentAccountingConcept text, ImfDataDisseminationStandard text, LatestPopulationCensus text, LatestHouseholdSurvey text, SourceOfMostRecentIncomeAndExpenditureData text, VitalRegistrationComplete text, LatestAgriculturalCensus text, LatestIndustrialData integer, LatestTradeData integer, LatestWaterWithdrawalData integer, SeriesCode text, Topic text, IndicatorName text, ShortDefinition text, LongDefinition text, UnitOfMeasure text, Periodicity text, BasePeriod text, OtherNotes integer, AggregationMethod text, LimitationsAndExceptions text, NotesFromOriginalSource text, GeneralComments text, Source text, StatisticalConceptAndMethodology text, DevelopmentRelevance text, RelatedSourceLinks text, OtherWebLinks integer, RelatedIndicators integer, LicenseType text, Countrycode text, Seriescode text, Description text, Countrycode text, Seriescode text, Year text, Description text, CountryName text, CountryCode text, IndicatorName text, IndicatorCode text, Year integer, Value integer, Seriescode text, Year text, Description text) | How many countries have notes on the indicator Stocks traded, turnover ratio of domestic shares? | SELECT COUNT(T1.Countrycode) FROM CountryNotes AS T1 INNER JOIN Series AS T2 ON T1.Seriescode = T2.SeriesCode WHERE T2.IndicatorName = 'Stocks traded, turnover ratio of domestic shares (%)' | bird |
CREATE TABLE world_development_indicators (CountryCode text, ShortName text, TableName text, LongName text, Alpha2Code text, CurrencyUnit text, SpecialNotes text, Region text, IncomeGroup text, Wb2Code text, NationalAccountsBaseYear text, NationalAccountsReferenceYear text, SnaPriceValuation text, LendingCategory text, OtherGroups text, SystemOfNationalAccounts text, AlternativeConversionFactor text, PppSurveyYear text, BalanceOfPaymentsManualInUse text, ExternalDebtReportingStatus text, SystemOfTrade text, GovernmentAccountingConcept text, ImfDataDisseminationStandard text, LatestPopulationCensus text, LatestHouseholdSurvey text, SourceOfMostRecentIncomeAndExpenditureData text, VitalRegistrationComplete text, LatestAgriculturalCensus text, LatestIndustrialData integer, LatestTradeData integer, LatestWaterWithdrawalData integer, SeriesCode text, Topic text, IndicatorName text, ShortDefinition text, LongDefinition text, UnitOfMeasure text, Periodicity text, BasePeriod text, OtherNotes integer, AggregationMethod text, LimitationsAndExceptions text, NotesFromOriginalSource text, GeneralComments text, Source text, StatisticalConceptAndMethodology text, DevelopmentRelevance text, RelatedSourceLinks text, OtherWebLinks integer, RelatedIndicators integer, LicenseType text, Countrycode text, Seriescode text, Description text, Countrycode text, Seriescode text, Year text, Description text, CountryName text, CountryCode text, IndicatorName text, IndicatorCode text, Year integer, Value integer, Seriescode text, Year text, Description text) | What's the agregation method for the indicator whose value is 133 in 1960 for the Arab World? | SELECT T2.AggregationMethod FROM Indicators AS T1 INNER JOIN Series AS T2 ON T1.IndicatorName = T2.IndicatorName INNER JOIN Country AS T3 ON T1.CountryCode = T3.CountryCode WHERE T3.ShortName = 'Arab World' AND T1.Value = 133 AND T1.Year = 1960 | bird |
CREATE TABLE world_development_indicators (CountryCode text, ShortName text, TableName text, LongName text, Alpha2Code text, CurrencyUnit text, SpecialNotes text, Region text, IncomeGroup text, Wb2Code text, NationalAccountsBaseYear text, NationalAccountsReferenceYear text, SnaPriceValuation text, LendingCategory text, OtherGroups text, SystemOfNationalAccounts text, AlternativeConversionFactor text, PppSurveyYear text, BalanceOfPaymentsManualInUse text, ExternalDebtReportingStatus text, SystemOfTrade text, GovernmentAccountingConcept text, ImfDataDisseminationStandard text, LatestPopulationCensus text, LatestHouseholdSurvey text, SourceOfMostRecentIncomeAndExpenditureData text, VitalRegistrationComplete text, LatestAgriculturalCensus text, LatestIndustrialData integer, LatestTradeData integer, LatestWaterWithdrawalData integer, SeriesCode text, Topic text, IndicatorName text, ShortDefinition text, LongDefinition text, UnitOfMeasure text, Periodicity text, BasePeriod text, OtherNotes integer, AggregationMethod text, LimitationsAndExceptions text, NotesFromOriginalSource text, GeneralComments text, Source text, StatisticalConceptAndMethodology text, DevelopmentRelevance text, RelatedSourceLinks text, OtherWebLinks integer, RelatedIndicators integer, LicenseType text, Countrycode text, Seriescode text, Description text, Countrycode text, Seriescode text, Year text, Description text, CountryName text, CountryCode text, IndicatorName text, IndicatorCode text, Year integer, Value integer, Seriescode text, Year text, Description text) | What's the value of the indicator whose long definition is "Adolescent fertility rate is the number of births per 1,000 women ages 15-19." for the Arab World in 1960? | SELECT T1.Value FROM Indicators AS T1 INNER JOIN Series AS T2 ON T1.IndicatorName = T2.IndicatorName INNER JOIN Country AS T3 ON T1.CountryCode = T3.CountryCode WHERE T2.LongDefinition = 'Adolescent fertility rate is the number of births per 1,000 women ages 15-19.' AND T3.ShortName = 'Arab World' AND T1.Year = 1960 | bird |
CREATE TABLE world_development_indicators (CountryCode text, ShortName text, TableName text, LongName text, Alpha2Code text, CurrencyUnit text, SpecialNotes text, Region text, IncomeGroup text, Wb2Code text, NationalAccountsBaseYear text, NationalAccountsReferenceYear text, SnaPriceValuation text, LendingCategory text, OtherGroups text, SystemOfNationalAccounts text, AlternativeConversionFactor text, PppSurveyYear text, BalanceOfPaymentsManualInUse text, ExternalDebtReportingStatus text, SystemOfTrade text, GovernmentAccountingConcept text, ImfDataDisseminationStandard text, LatestPopulationCensus text, LatestHouseholdSurvey text, SourceOfMostRecentIncomeAndExpenditureData text, VitalRegistrationComplete text, LatestAgriculturalCensus text, LatestIndustrialData integer, LatestTradeData integer, LatestWaterWithdrawalData integer, SeriesCode text, Topic text, IndicatorName text, ShortDefinition text, LongDefinition text, UnitOfMeasure text, Periodicity text, BasePeriod text, OtherNotes integer, AggregationMethod text, LimitationsAndExceptions text, NotesFromOriginalSource text, GeneralComments text, Source text, StatisticalConceptAndMethodology text, DevelopmentRelevance text, RelatedSourceLinks text, OtherWebLinks integer, RelatedIndicators integer, LicenseType text, Countrycode text, Seriescode text, Description text, Countrycode text, Seriescode text, Year text, Description text, CountryName text, CountryCode text, IndicatorName text, IndicatorCode text, Year integer, Value integer, Seriescode text, Year text, Description text) | What is the percentage of increase of the indicator on Adolescent fertility rate from 1960 to 1961 in the country whose Alpha2Code is 1A? | SELECT (( SELECT T2.Value FROM Country AS T1 INNER JOIN Indicators AS T2 ON T1.CountryCode = T2.CountryCode WHERE T1.Alpha2Code = '1A' AND T2.IndicatorName = 'Adolescent fertility rate (births per 1,000 women ages 15-19)' AND T2.Year = 1961 ) - ( SELECT T2.Value FROM Country AS T1 INNER JOIN Indicators AS T2 ON T1.CountryCode = T2.CountryCode WHERE T1.Alpha2Code = '1A' AND T2.IndicatorName = 'Adolescent fertility rate (births per 1,000 women ages 15-19)' AND T2.Year = 1960 )) * 1.0 / ( SELECT SUM(T2.Value) FROM Country AS T1 INNER JOIN Indicators AS T2 ON T1.CountryCode = T2.CountryCode WHERE T1.Alpha2Code = '1A' AND T2.IndicatorName = 'Adolescent fertility rate (births per 1,000 women ages 15-19)' AND T2.Year = 1960 ) | bird |
CREATE TABLE world_development_indicators (CountryCode text, ShortName text, TableName text, LongName text, Alpha2Code text, CurrencyUnit text, SpecialNotes text, Region text, IncomeGroup text, Wb2Code text, NationalAccountsBaseYear text, NationalAccountsReferenceYear text, SnaPriceValuation text, LendingCategory text, OtherGroups text, SystemOfNationalAccounts text, AlternativeConversionFactor text, PppSurveyYear text, BalanceOfPaymentsManualInUse text, ExternalDebtReportingStatus text, SystemOfTrade text, GovernmentAccountingConcept text, ImfDataDisseminationStandard text, LatestPopulationCensus text, LatestHouseholdSurvey text, SourceOfMostRecentIncomeAndExpenditureData text, VitalRegistrationComplete text, LatestAgriculturalCensus text, LatestIndustrialData integer, LatestTradeData integer, LatestWaterWithdrawalData integer, SeriesCode text, Topic text, IndicatorName text, ShortDefinition text, LongDefinition text, UnitOfMeasure text, Periodicity text, BasePeriod text, OtherNotes integer, AggregationMethod text, LimitationsAndExceptions text, NotesFromOriginalSource text, GeneralComments text, Source text, StatisticalConceptAndMethodology text, DevelopmentRelevance text, RelatedSourceLinks text, OtherWebLinks integer, RelatedIndicators integer, LicenseType text, Countrycode text, Seriescode text, Description text, Countrycode text, Seriescode text, Year text, Description text, CountryName text, CountryCode text, IndicatorName text, IndicatorCode text, Year integer, Value integer, Seriescode text, Year text, Description text) | What is the average value of Adolescent fertility rate in the country whose Alpha2Code is 1A? | SELECT CAST(SUM(T2.Value) AS REAL) * 100 / COUNT(T2.Year) FROM Country AS T1 INNER JOIN Indicators AS T2 ON T1.CountryCode = T2.CountryCode WHERE T1.Alpha2Code = '1A' AND T2.IndicatorName = 'Adolescent fertility rate (births per 1,000 women ages 15-19)' | bird |
CREATE TABLE movielens (userid integer, age text, u_gender text, occupation text, directorid integer, d_quality integer, avg_revenue integer, actorid integer, a_gender text, a_quality integer, movieid integer, year integer, isEnglish text, country text, runningtime integer, movieid integer, actorid integer, cast_num integer, movieid integer, directorid integer, genre text, userid integer, movieid integer, rating text) | List the different director IDs of the movies whose user rating is more than 4. | SELECT DISTINCT T2.directorid FROM u2base AS T1 INNER JOIN movies2directors AS T2 ON T1.movieid = T2.movieid WHERE T1.rating > 4 | bird |
CREATE TABLE movielens (userid integer, age text, u_gender text, occupation text, directorid integer, d_quality integer, avg_revenue integer, actorid integer, a_gender text, a_quality integer, movieid integer, year integer, isEnglish text, country text, runningtime integer, movieid integer, actorid integer, cast_num integer, movieid integer, directorid integer, genre text, userid integer, movieid integer, rating text) | Among the users who gave a rating of 5, how many of them are male? | SELECT COUNT(T1.userid) FROM u2base AS T1 INNER JOIN users AS T2 ON T1.userid = T2.userid WHERE T1.rating = 5 AND T2.u_gender = 'M' | bird |
CREATE TABLE movielens (userid integer, age text, u_gender text, occupation text, directorid integer, d_quality integer, avg_revenue integer, actorid integer, a_gender text, a_quality integer, movieid integer, year integer, isEnglish text, country text, runningtime integer, movieid integer, actorid integer, cast_num integer, movieid integer, directorid integer, genre text, userid integer, movieid integer, rating text) | List the genres of the movies which actor id 851 is the star. | SELECT T2.genre FROM movies2actors AS T1 INNER JOIN movies2directors AS T2 ON T1.movieid = T2.movieid INNER JOIN actors AS T3 ON T1.actorid = T3.actorid WHERE T3.actorid = 851 | bird |
CREATE TABLE movielens (userid integer, age text, u_gender text, occupation text, directorid integer, d_quality integer, avg_revenue integer, actorid integer, a_gender text, a_quality integer, movieid integer, year integer, isEnglish text, country text, runningtime integer, movieid integer, actorid integer, cast_num integer, movieid integer, directorid integer, genre text, userid integer, movieid integer, rating text) | How many movies from the USA which user rating is less than 3? | SELECT COUNT(T1.movieid) FROM u2base AS T1 INNER JOIN movies AS T2 ON T1.movieid = T2.movieid WHERE T2.country = 'USA' AND T1.rating < 3 | bird |
CREATE TABLE movielens (userid integer, age text, u_gender text, occupation text, directorid integer, d_quality integer, avg_revenue integer, actorid integer, a_gender text, a_quality integer, movieid integer, year integer, isEnglish text, country text, runningtime integer, movieid integer, actorid integer, cast_num integer, movieid integer, directorid integer, genre text, userid integer, movieid integer, rating text) | Among the movies from France, how many of them are drama? | SELECT COUNT(T1.movieid) FROM movies2directors AS T1 INNER JOIN movies AS T2 ON T1.movieid = T2.movieid WHERE T2.country = 'France' AND T1.genre = 'drama' | bird |
CREATE TABLE movielens (userid integer, age text, u_gender text, occupation text, directorid integer, d_quality integer, avg_revenue integer, actorid integer, a_gender text, a_quality integer, movieid integer, year integer, isEnglish text, country text, runningtime integer, movieid integer, actorid integer, cast_num integer, movieid integer, directorid integer, genre text, userid integer, movieid integer, rating text) | What is the average occupation of users whose ratings are not more than 2 ? | SELECT AVG(T2.occupation) FROM u2base AS T1 INNER JOIN users AS T2 ON T1.userid = T2.userid WHERE T1.rating < 2 | bird |
CREATE TABLE movielens (userid integer, age text, u_gender text, occupation text, directorid integer, d_quality integer, avg_revenue integer, actorid integer, a_gender text, a_quality integer, movieid integer, year integer, isEnglish text, country text, runningtime integer, movieid integer, actorid integer, cast_num integer, movieid integer, directorid integer, genre text, userid integer, movieid integer, rating text) | List the top 10 USA movies, by descending order, from the highest to the lowest, the user rating. | SELECT T1.movieid FROM u2base AS T1 INNER JOIN movies AS T2 ON T1.movieid = T2.movieid WHERE T2.country = 'USA' GROUP BY T1.movieid ORDER BY AVG(T1.rating) DESC LIMIT 10 | bird |
CREATE TABLE movielens (userid integer, age text, u_gender text, occupation text, directorid integer, d_quality integer, avg_revenue integer, actorid integer, a_gender text, a_quality integer, movieid integer, year integer, isEnglish text, country text, runningtime integer, movieid integer, actorid integer, cast_num integer, movieid integer, directorid integer, genre text, userid integer, movieid integer, rating text) | What is the average number of casts of movies that are from the USA? | SELECT AVG(T2.cast_num) FROM movies AS T1 INNER JOIN movies2actors AS T2 ON T1.movieid = T2.movieid WHERE T1.country = 'USA' | bird |
CREATE TABLE movielens (userid integer, age text, u_gender text, occupation text, directorid integer, d_quality integer, avg_revenue integer, actorid integer, a_gender text, a_quality integer, movieid integer, year integer, isEnglish text, country text, runningtime integer, movieid integer, actorid integer, cast_num integer, movieid integer, directorid integer, genre text, userid integer, movieid integer, rating text) | List the top 5 movies from other countries which to language is not in English. | SELECT DISTINCT T1.movieid FROM u2base AS T1 INNER JOIN movies AS T2 ON T1.movieid = T2.movieid WHERE T2.country = 'other' AND T2.isEnglish = 'F' LIMIT 5 | bird |
CREATE TABLE movielens (userid integer, age text, u_gender text, occupation text, directorid integer, d_quality integer, avg_revenue integer, actorid integer, a_gender text, a_quality integer, movieid integer, year integer, isEnglish text, country text, runningtime integer, movieid integer, actorid integer, cast_num integer, movieid integer, directorid integer, genre text, userid integer, movieid integer, rating text) | Among the best actors, how many of them got a rating of 5 to the movies they starred? | SELECT COUNT(T1.actorid) FROM actors AS T1 INNER JOIN movies2actors AS T2 ON T1.actorid = T2.actorid INNER JOIN u2base AS T3 ON T2.movieid = T3.movieid WHERE T1.a_quality = 5 AND T3.rating = 5 | bird |
CREATE TABLE movielens (userid integer, age text, u_gender text, occupation text, directorid integer, d_quality integer, avg_revenue integer, actorid integer, a_gender text, a_quality integer, movieid integer, year integer, isEnglish text, country text, runningtime integer, movieid integer, actorid integer, cast_num integer, movieid integer, directorid integer, genre text, userid integer, movieid integer, rating text) | What is the average rating of the newest movies from France? | SELECT AVG(T1.rating) FROM u2base AS T1 INNER JOIN movies AS T2 ON T1.movieid = T2.movieid WHERE T2.country = 'france' AND T2.year = 4 | bird |
CREATE TABLE movielens (userid integer, age text, u_gender text, occupation text, directorid integer, d_quality integer, avg_revenue integer, actorid integer, a_gender text, a_quality integer, movieid integer, year integer, isEnglish text, country text, runningtime integer, movieid integer, actorid integer, cast_num integer, movieid integer, directorid integer, genre text, userid integer, movieid integer, rating text) | Among the most rated UK movies, how many of them has running time of less than 2? | SELECT COUNT(T1.movieid) FROM u2base AS T1 INNER JOIN movies AS T2 ON T1.movieid = T2.movieid WHERE T2.country = 'UK' AND T2.runningtime < 2 AND T1.rating = 5 | bird |
CREATE TABLE movielens (userid integer, age text, u_gender text, occupation text, directorid integer, d_quality integer, avg_revenue integer, actorid integer, a_gender text, a_quality integer, movieid integer, year integer, isEnglish text, country text, runningtime integer, movieid integer, actorid integer, cast_num integer, movieid integer, directorid integer, genre text, userid integer, movieid integer, rating text) | List the id of male users who gave ratings of less than 3 to French movies with running time of 2. | SELECT T1.userid FROM u2base AS T1 INNER JOIN movies AS T2 ON T1.movieid = T2.movieid INNER JOIN users AS T3 ON T1.userid = T3.userid WHERE T2.country = 'France' AND T2.runningtime = 2 AND T1.rating < 3 AND T3.u_gender = 'M' | bird |
CREATE TABLE movielens (userid integer, age text, u_gender text, occupation text, directorid integer, d_quality integer, avg_revenue integer, actorid integer, a_gender text, a_quality integer, movieid integer, year integer, isEnglish text, country text, runningtime integer, movieid integer, actorid integer, cast_num integer, movieid integer, directorid integer, genre text, userid integer, movieid integer, rating text) | Among the worst actresses, how many of them got a rating of more than 3 to the movies they starred? | SELECT COUNT(T1.userid) FROM u2base AS T1 INNER JOIN movies2actors AS T2 ON T1.movieid = T2.movieid INNER JOIN actors AS T3 ON T2.actorid = T3.actorid INNER JOIN users AS T4 ON T1.userid = T4.userid WHERE T3.a_quality = 0 AND T1.rating > 3 AND T4.u_gender = 'F' | bird |
CREATE TABLE movielens (userid integer, age text, u_gender text, occupation text, directorid integer, d_quality integer, avg_revenue integer, actorid integer, a_gender text, a_quality integer, movieid integer, year integer, isEnglish text, country text, runningtime integer, movieid integer, actorid integer, cast_num integer, movieid integer, directorid integer, genre text, userid integer, movieid integer, rating text) | What is the ID of audiences that gave the most rating of 5? | SELECT userid FROM u2base WHERE rating = 5 GROUP BY userid ORDER BY COUNT(movieid) DESC LIMIT 1 | bird |
CREATE TABLE movielens (userid integer, age text, u_gender text, occupation text, directorid integer, d_quality integer, avg_revenue integer, actorid integer, a_gender text, a_quality integer, movieid integer, year integer, isEnglish text, country text, runningtime integer, movieid integer, actorid integer, cast_num integer, movieid integer, directorid integer, genre text, userid integer, movieid integer, rating text) | What are the ID of actors that had worked together with director 22397? What was the genre of that movie? | SELECT T2.actorid, T4.genre FROM movies AS T1 INNER JOIN movies2actors AS T2 ON T1.movieid = T2.movieid INNER JOIN actors AS T3 ON T2.actorid = T3.actorid INNER JOIN movies2directors AS T4 ON T1.movieid = T4.movieid WHERE T4.directorid = 22397 | bird |
CREATE TABLE movielens (userid integer, age text, u_gender text, occupation text, directorid integer, d_quality integer, avg_revenue integer, actorid integer, a_gender text, a_quality integer, movieid integer, year integer, isEnglish text, country text, runningtime integer, movieid integer, actorid integer, cast_num integer, movieid integer, directorid integer, genre text, userid integer, movieid integer, rating text) | Please list down the ID of actors and directors in action movies. | SELECT T2.actorid, T1.directorid FROM movies2directors AS T1 INNER JOIN movies2actors AS T2 ON T1.movieid = T2.movieid WHERE T1.genre = 'Action' | bird |
CREATE TABLE movielens (userid integer, age text, u_gender text, occupation text, directorid integer, d_quality integer, avg_revenue integer, actorid integer, a_gender text, a_quality integer, movieid integer, year integer, isEnglish text, country text, runningtime integer, movieid integer, actorid integer, cast_num integer, movieid integer, directorid integer, genre text, userid integer, movieid integer, rating text) | How many female actors acted in the movies of year 4? | SELECT COUNT(T2.actorid) FROM movies AS T1 INNER JOIN movies2actors AS T2 ON T1.movieid = T2.movieid INNER JOIN actors AS T3 ON T2.actorid = T3.actorid WHERE T3.a_gender = 'F' AND T1.year = 4 | bird |
CREATE TABLE movielens (userid integer, age text, u_gender text, occupation text, directorid integer, d_quality integer, avg_revenue integer, actorid integer, a_gender text, a_quality integer, movieid integer, year integer, isEnglish text, country text, runningtime integer, movieid integer, actorid integer, cast_num integer, movieid integer, directorid integer, genre text, userid integer, movieid integer, rating text) | What are the ID of actors with quality rating of 3 acted in English USA movies? | SELECT T2.actorid FROM movies AS T1 INNER JOIN movies2actors AS T2 ON T1.movieid = T2.movieid INNER JOIN actors AS T3 ON T2.actorid = T3.actorid WHERE T3.a_quality = 3 AND T1.country = 'USA' AND T1.isEnglish = 'T' | bird |
CREATE TABLE movielens (userid integer, age text, u_gender text, occupation text, directorid integer, d_quality integer, avg_revenue integer, actorid integer, a_gender text, a_quality integer, movieid integer, year integer, isEnglish text, country text, runningtime integer, movieid integer, actorid integer, cast_num integer, movieid integer, directorid integer, genre text, userid integer, movieid integer, rating text) | List down the ID of movies with running time of 3 and average revenue of 1? | SELECT T1.movieid FROM movies AS T1 INNER JOIN movies2directors AS T2 ON T1.movieid = T2.movieid INNER JOIN directors AS T3 ON T2.directorid = T3.directorid WHERE T1.runningtime = 3 AND T3.avg_revenue = 1 | bird |
CREATE TABLE movielens (userid integer, age text, u_gender text, occupation text, directorid integer, d_quality integer, avg_revenue integer, actorid integer, a_gender text, a_quality integer, movieid integer, year integer, isEnglish text, country text, runningtime integer, movieid integer, actorid integer, cast_num integer, movieid integer, directorid integer, genre text, userid integer, movieid integer, rating text) | UK produced what genre of movies? | SELECT T2.genre FROM movies AS T1 INNER JOIN movies2directors AS T2 ON T1.movieid = T2.movieid WHERE T1.country = 'UK' | bird |
CREATE TABLE movielens (userid integer, age text, u_gender text, occupation text, directorid integer, d_quality integer, avg_revenue integer, actorid integer, a_gender text, a_quality integer, movieid integer, year integer, isEnglish text, country text, runningtime integer, movieid integer, actorid integer, cast_num integer, movieid integer, directorid integer, genre text, userid integer, movieid integer, rating text) | What is the favourite movie genre for audiences of age 18? | SELECT T1.genre FROM movies2directors AS T1 INNER JOIN u2base AS T2 ON T1.movieid = T2.movieid INNER JOIN users AS T3 ON T2.userid = T3.userid WHERE T3.age = 18 GROUP BY T1.genre ORDER BY COUNT(T1.movieid) DESC LIMIT 1 | bird |
CREATE TABLE movielens (userid integer, age text, u_gender text, occupation text, directorid integer, d_quality integer, avg_revenue integer, actorid integer, a_gender text, a_quality integer, movieid integer, year integer, isEnglish text, country text, runningtime integer, movieid integer, actorid integer, cast_num integer, movieid integer, directorid integer, genre text, userid integer, movieid integer, rating text) | What is the ID of actors that acted in the movies most viewed by audience with occupation 5? | SELECT T3.actorid FROM users AS T1 INNER JOIN u2base AS T2 ON T1.userid = T2.userid INNER JOIN movies2actors AS T3 ON T2.movieid = T3.movieid WHERE T1.occupation = 5 GROUP BY T2.movieid ORDER BY COUNT(T1.userid) DESC LIMIT 1 | bird |
CREATE TABLE movielens (userid integer, age text, u_gender text, occupation text, directorid integer, d_quality integer, avg_revenue integer, actorid integer, a_gender text, a_quality integer, movieid integer, year integer, isEnglish text, country text, runningtime integer, movieid integer, actorid integer, cast_num integer, movieid integer, directorid integer, genre text, userid integer, movieid integer, rating text) | Movies with rating 3 are viewed by audiences in which distinct age group? | SELECT DISTINCT T2.age FROM u2base AS T1 INNER JOIN users AS T2 ON T1.userid = T2.userid WHERE T1.rating = 3 | bird |
CREATE TABLE movielens (userid integer, age text, u_gender text, occupation text, directorid integer, d_quality integer, avg_revenue integer, actorid integer, a_gender text, a_quality integer, movieid integer, year integer, isEnglish text, country text, runningtime integer, movieid integer, actorid integer, cast_num integer, movieid integer, directorid integer, genre text, userid integer, movieid integer, rating text) | Action movies are mostly directed by directors of which country? | SELECT T3.country FROM movies2directors AS T1 INNER JOIN directors AS T2 ON T1.directorid = T2.directorid INNER JOIN movies AS T3 ON T1.movieid = T3.movieid WHERE T1.genre = 'Action' GROUP BY T3.country ORDER BY COUNT(T3.country) DESC LIMIT 1 | bird |
CREATE TABLE movielens (userid integer, age text, u_gender text, occupation text, directorid integer, d_quality integer, avg_revenue integer, actorid integer, a_gender text, a_quality integer, movieid integer, year integer, isEnglish text, country text, runningtime integer, movieid integer, actorid integer, cast_num integer, movieid integer, directorid integer, genre text, userid integer, movieid integer, rating text) | Please list down ID of movies acted by top 5 actors based on actor rating. | SELECT T2.movieid FROM actors AS T1 INNER JOIN movies2actors AS T2 ON T1.actorid = T2.actorid GROUP BY T2.actorid ORDER BY AVG(T1.a_quality) DESC LIMIT 5 | bird |
CREATE TABLE movielens (userid integer, age text, u_gender text, occupation text, directorid integer, d_quality integer, avg_revenue integer, actorid integer, a_gender text, a_quality integer, movieid integer, year integer, isEnglish text, country text, runningtime integer, movieid integer, actorid integer, cast_num integer, movieid integer, directorid integer, genre text, userid integer, movieid integer, rating text) | List down 5 non English adventure movies from UK? | SELECT T1.movieid FROM movies2directors AS T1 INNER JOIN movies AS T2 ON T1.movieid = T2.movieid WHERE T2.country = 'UK' AND T1.genre = 'Adventure' AND T2.isEnglish = 'F' LIMIT 5 | bird |
CREATE TABLE movielens (userid integer, age text, u_gender text, occupation text, directorid integer, d_quality integer, avg_revenue integer, actorid integer, a_gender text, a_quality integer, movieid integer, year integer, isEnglish text, country text, runningtime integer, movieid integer, actorid integer, cast_num integer, movieid integer, directorid integer, genre text, userid integer, movieid integer, rating text) | What is the percentage of female audiences who viewed movies with rating 2? | SELECT CAST(SUM(IIF(T2.u_gender = 'F', 1, 0)) AS REAL) * 100 / COUNT(T2.userid) FROM u2base AS T1 INNER JOIN users AS T2 ON T1.userid = T2.userid WHERE T1.rating = 2 | bird |
CREATE TABLE movielens (userid integer, age text, u_gender text, occupation text, directorid integer, d_quality integer, avg_revenue integer, actorid integer, a_gender text, a_quality integer, movieid integer, year integer, isEnglish text, country text, runningtime integer, movieid integer, actorid integer, cast_num integer, movieid integer, directorid integer, genre text, userid integer, movieid integer, rating text) | What is the difference of female and male audiences in number who viewed horror movies? | SELECT SUM(IIF(T2.u_gender = 'F', 1, 0)) - SUM(IIF(T2.u_gender = 'M', 1, 0)) FROM u2base AS T1 INNER JOIN users AS T2 ON T1.userid = T2.userid INNER JOIN movies2directors AS T3 ON T3.movieid = T1.movieid WHERE T3.genre = 'horror' | bird |
CREATE TABLE movielens (userid integer, age text, u_gender text, occupation text, directorid integer, d_quality integer, avg_revenue integer, actorid integer, a_gender text, a_quality integer, movieid integer, year integer, isEnglish text, country text, runningtime integer, movieid integer, actorid integer, cast_num integer, movieid integer, directorid integer, genre text, userid integer, movieid integer, rating text) | Please list the genre of the movies that are the newest and is in English. | SELECT T2.genre FROM movies AS T1 INNER JOIN movies2directors AS T2 ON T1.movieid = T2.movieid WHERE T1.year = 4 AND T1.isEnglish = 'T' | bird |
CREATE TABLE movielens (userid integer, age text, u_gender text, occupation text, directorid integer, d_quality integer, avg_revenue integer, actorid integer, a_gender text, a_quality integer, movieid integer, year integer, isEnglish text, country text, runningtime integer, movieid integer, actorid integer, cast_num integer, movieid integer, directorid integer, genre text, userid integer, movieid integer, rating text) | Among the action movies from the USA, how many of them are not in English? | SELECT COUNT(T1.movieid) FROM movies AS T1 INNER JOIN movies2directors AS T2 ON T1.movieid = T2.movieid WHERE T1.country = 'USA' AND T1.isEnglish = 'F' AND T2.genre = 'Action' | bird |
CREATE TABLE movielens (userid integer, age text, u_gender text, occupation text, directorid integer, d_quality integer, avg_revenue integer, actorid integer, a_gender text, a_quality integer, movieid integer, year integer, isEnglish text, country text, runningtime integer, movieid integer, actorid integer, cast_num integer, movieid integer, directorid integer, genre text, userid integer, movieid integer, rating text) | For the male users no older than 18, how many times have they given the highest rating? | SELECT COUNT(T1.movieid) FROM u2base AS T1 INNER JOIN users AS T2 ON T1.userid = T2.userid WHERE T1.rating = 5 AND T2.age < 18 AND T2.u_gender = 'M' | bird |
CREATE TABLE movielens (userid integer, age text, u_gender text, occupation text, directorid integer, d_quality integer, avg_revenue integer, actorid integer, a_gender text, a_quality integer, movieid integer, year integer, isEnglish text, country text, runningtime integer, movieid integer, actorid integer, cast_num integer, movieid integer, directorid integer, genre text, userid integer, movieid integer, rating text) | Please list the ID of the movie that has been mostly rated by female users. | SELECT T1.movieid FROM u2base AS T1 INNER JOIN users AS T2 ON T1.userid = T2.userid WHERE T2.u_gender = 'F' GROUP BY T1.movieid ORDER BY COUNT(T2.userid) DESC LIMIT 1 | bird |
CREATE TABLE movielens (userid integer, age text, u_gender text, occupation text, directorid integer, d_quality integer, avg_revenue integer, actorid integer, a_gender text, a_quality integer, movieid integer, year integer, isEnglish text, country text, runningtime integer, movieid integer, actorid integer, cast_num integer, movieid integer, directorid integer, genre text, userid integer, movieid integer, rating text) | Among divergent movies that got the highest rating, how many of them are from the UK? | SELECT COUNT(DISTINCT T1.movieid) FROM u2base AS T1 INNER JOIN movies AS T2 ON T1.movieid = T2.movieid WHERE T2.country = 'UK' AND T1.rating = 5 | bird |
CREATE TABLE movielens (userid integer, age text, u_gender text, occupation text, directorid integer, d_quality integer, avg_revenue integer, actorid integer, a_gender text, a_quality integer, movieid integer, year integer, isEnglish text, country text, runningtime integer, movieid integer, actorid integer, cast_num integer, movieid integer, directorid integer, genre text, userid integer, movieid integer, rating text) | Please list different IDs of movies that are the newest and have gotten the lowest rating. | SELECT DISTINCT T1.movieid FROM u2base AS T1 INNER JOIN movies AS T2 ON T1.movieid = T2.movieid WHERE T2.year = 4 AND T1.rating = 1 | bird |
CREATE TABLE movielens (userid integer, age text, u_gender text, occupation text, directorid integer, d_quality integer, avg_revenue integer, actorid integer, a_gender text, a_quality integer, movieid integer, year integer, isEnglish text, country text, runningtime integer, movieid integer, actorid integer, cast_num integer, movieid integer, directorid integer, genre text, userid integer, movieid integer, rating text) | For the movies in English that are the oldest, how many of them have the lowest rating? | SELECT COUNT(DISTINCT T1.movieid) FROM movies AS T1 INNER JOIN u2base AS T2 ON T1.movieid = T2.movieid WHERE T1.year = 1 AND T2.rating = 1 AND T1.isEnglish = 'T' | bird |
CREATE TABLE movielens (userid integer, age text, u_gender text, occupation text, directorid integer, d_quality integer, avg_revenue integer, actorid integer, a_gender text, a_quality integer, movieid integer, year integer, isEnglish text, country text, runningtime integer, movieid integer, actorid integer, cast_num integer, movieid integer, directorid integer, genre text, userid integer, movieid integer, rating text) | How many different female users have rated movies from France? | SELECT COUNT(DISTINCT T2.userid) FROM users AS T1 INNER JOIN u2base AS T2 ON T1.userid = T2.userid INNER JOIN movies AS T3 ON T2.movieid = T3.movieid WHERE T1.u_gender = 'F' AND T3.country = 'France' | bird |
CREATE TABLE movielens (userid integer, age text, u_gender text, occupation text, directorid integer, d_quality integer, avg_revenue integer, actorid integer, a_gender text, a_quality integer, movieid integer, year integer, isEnglish text, country text, runningtime integer, movieid integer, actorid integer, cast_num integer, movieid integer, directorid integer, genre text, userid integer, movieid integer, rating text) | For different directors who direct well, how many of them have directed an action film? | SELECT COUNT(DISTINCT T2.directorid) FROM movies2directors AS T2 INNER JOIN directors AS T3 ON T2.directorid = T3.directorid WHERE T2.genre = 'Action' AND T3.d_quality = 4 | bird |
CREATE TABLE movielens (userid integer, age text, u_gender text, occupation text, directorid integer, d_quality integer, avg_revenue integer, actorid integer, a_gender text, a_quality integer, movieid integer, year integer, isEnglish text, country text, runningtime integer, movieid integer, actorid integer, cast_num integer, movieid integer, directorid integer, genre text, userid integer, movieid integer, rating text) | Please list the genre of the movies that are directed by the directors with the highest level of average revenue. | SELECT T2.genre FROM directors AS T1 INNER JOIN movies2directors AS T2 ON T1.directorid = T2.directorid WHERE T1.avg_revenue = 4 | bird |
CREATE TABLE movielens (userid integer, age text, u_gender text, occupation text, directorid integer, d_quality integer, avg_revenue integer, actorid integer, a_gender text, a_quality integer, movieid integer, year integer, isEnglish text, country text, runningtime integer, movieid integer, actorid integer, cast_num integer, movieid integer, directorid integer, genre text, userid integer, movieid integer, rating text) | How many distinct movies in English stars a male actor who acts the best? | SELECT COUNT(DISTINCT T1.actorid) FROM actors AS T1 INNER JOIN movies2actors AS T2 ON T1.actorid = T2.actorid INNER JOIN movies AS T3 ON T2.movieid = T3.movieid WHERE T3.isEnglish = 'T' AND T1.a_gender = 'M' AND T1.a_quality = 5 | bird |
CREATE TABLE movielens (userid integer, age text, u_gender text, occupation text, directorid integer, d_quality integer, avg_revenue integer, actorid integer, a_gender text, a_quality integer, movieid integer, year integer, isEnglish text, country text, runningtime integer, movieid integer, actorid integer, cast_num integer, movieid integer, directorid integer, genre text, userid integer, movieid integer, rating text) | Please list the country of the movie that stars an actress who acts the worse. | SELECT T3.country FROM actors AS T1 INNER JOIN movies2actors AS T2 ON T1.actorid = T2.actorid INNER JOIN movies AS T3 ON T2.movieid = T3.movieid WHERE T1.a_gender = 'F' AND T1.a_quality = 0 | bird |
CREATE TABLE movielens (userid integer, age text, u_gender text, occupation text, directorid integer, d_quality integer, avg_revenue integer, actorid integer, a_gender text, a_quality integer, movieid integer, year integer, isEnglish text, country text, runningtime integer, movieid integer, actorid integer, cast_num integer, movieid integer, directorid integer, genre text, userid integer, movieid integer, rating text) | What is the highest average rating for action movies made in the USA? | SELECT AVG(T2.rating) FROM movies AS T1 INNER JOIN u2base AS T2 ON T1.movieid = T2.movieid INNER JOIN movies2directors AS T3 ON T1.movieid = T3.movieid WHERE T1.country = 'USA' AND T3.genre = 'Action' GROUP BY T1.movieid ORDER BY AVG(T2.rating) DESC LIMIT 1 | bird |
CREATE TABLE movielens (userid integer, age text, u_gender text, occupation text, directorid integer, d_quality integer, avg_revenue integer, actorid integer, a_gender text, a_quality integer, movieid integer, year integer, isEnglish text, country text, runningtime integer, movieid integer, actorid integer, cast_num integer, movieid integer, directorid integer, genre text, userid integer, movieid integer, rating text) | Among the films directed by directors who direct the best, how many of them have an average rating of over 3.5? | SELECT COUNT(*) FROM ( SELECT DISTINCT T2.movieid FROM directors AS T1 INNER JOIN movies2directors AS T2 ON T1.directorid = T2.directorid INNER JOIN u2base AS T3 ON T2.movieid = T3.movieid WHERE T1.d_quality = 5 GROUP BY T2.movieid HAVING AVG(T3.rating) > 3.5 ) AS T1 | bird |
CREATE TABLE movielens (userid integer, age text, u_gender text, occupation text, directorid integer, d_quality integer, avg_revenue integer, actorid integer, a_gender text, a_quality integer, movieid integer, year integer, isEnglish text, country text, runningtime integer, movieid integer, actorid integer, cast_num integer, movieid integer, directorid integer, genre text, userid integer, movieid integer, rating text) | Which adventure movie has the highest average rating? | SELECT T1.movieid FROM movies2directors AS T1 INNER JOIN u2base AS T2 ON T1.movieid = T2.movieid WHERE T1.genre = 'Adventure' GROUP BY T1.movieid ORDER BY AVG(T2.rating) DESC LIMIT 1 | bird |
CREATE TABLE movielens (userid integer, age text, u_gender text, occupation text, directorid integer, d_quality integer, avg_revenue integer, actorid integer, a_gender text, a_quality integer, movieid integer, year integer, isEnglish text, country text, runningtime integer, movieid integer, actorid integer, cast_num integer, movieid integer, directorid integer, genre text, userid integer, movieid integer, rating text) | How many of the users who rate the movie with the id '2462959' are female? | SELECT COUNT(T1.userid) FROM users AS T1 INNER JOIN u2base AS T2 ON T1.userid = T2.userid WHERE T2.userid = 2462959 AND T1.u_gender = 'F' | bird |
CREATE TABLE movielens (userid integer, age text, u_gender text, occupation text, directorid integer, d_quality integer, avg_revenue integer, actorid integer, a_gender text, a_quality integer, movieid integer, year integer, isEnglish text, country text, runningtime integer, movieid integer, actorid integer, cast_num integer, movieid integer, directorid integer, genre text, userid integer, movieid integer, rating text) | What is the most distinct rated movie with a running time of 0? | SELECT DISTINCT T1.movieid FROM movies AS T1 INNER JOIN u2base AS T2 ON T1.movieid = T2.movieid WHERE T1.runningtime = 0 AND T2.rating = ( SELECT MAX(rating) FROM u2base ) | bird |
CREATE TABLE movielens (userid integer, age text, u_gender text, occupation text, directorid integer, d_quality integer, avg_revenue integer, actorid integer, a_gender text, a_quality integer, movieid integer, year integer, isEnglish text, country text, runningtime integer, movieid integer, actorid integer, cast_num integer, movieid integer, directorid integer, genre text, userid integer, movieid integer, rating text) | List the ids and ratings of each actors played in the movie with the id 1722327? | SELECT T1.actorid, T1.a_quality FROM actors AS T1 INNER JOIN movies2actors AS T2 ON T1.actorid = T2.actorid WHERE T2.movieid = 1722327 | bird |
CREATE TABLE movielens (userid integer, age text, u_gender text, occupation text, directorid integer, d_quality integer, avg_revenue integer, actorid integer, a_gender text, a_quality integer, movieid integer, year integer, isEnglish text, country text, runningtime integer, movieid integer, actorid integer, cast_num integer, movieid integer, directorid integer, genre text, userid integer, movieid integer, rating text) | Which directors with the best quality directed the most films? | SELECT T1.directorid FROM directors AS T1 INNER JOIN movies2directors AS T2 ON T1.directorid = T2.directorid WHERE T1.d_quality = 5 GROUP BY T1.directorid ORDER BY COUNT(T2.movieid) DESC LIMIT 1 | bird |
CREATE TABLE movielens (userid integer, age text, u_gender text, occupation text, directorid integer, d_quality integer, avg_revenue integer, actorid integer, a_gender text, a_quality integer, movieid integer, year integer, isEnglish text, country text, runningtime integer, movieid integer, actorid integer, cast_num integer, movieid integer, directorid integer, genre text, userid integer, movieid integer, rating text) | How many drama movie with the rating of 3? | SELECT COUNT(DISTINCT T2.movieid) FROM u2base AS T1 INNER JOIN movies2directors AS T2 ON T1.movieid = T2.movieid WHERE T2.genre = 'drama' AND T1.rating = 3 | bird |
CREATE TABLE movielens (userid integer, age text, u_gender text, occupation text, directorid integer, d_quality integer, avg_revenue integer, actorid integer, a_gender text, a_quality integer, movieid integer, year integer, isEnglish text, country text, runningtime integer, movieid integer, actorid integer, cast_num integer, movieid integer, directorid integer, genre text, userid integer, movieid integer, rating text) | How many of the movies rated 5 are rated by a user between the ages of 25 and 35? | SELECT COUNT(T1.movieid) FROM u2base AS T1 INNER JOIN users AS T2 ON T1.userid = T2.userid WHERE T1.rating = 5 AND T2.age BETWEEN 25 AND 35 | bird |
CREATE TABLE movielens (userid integer, age text, u_gender text, occupation text, directorid integer, d_quality integer, avg_revenue integer, actorid integer, a_gender text, a_quality integer, movieid integer, year integer, isEnglish text, country text, runningtime integer, movieid integer, actorid integer, cast_num integer, movieid integer, directorid integer, genre text, userid integer, movieid integer, rating text) | Please list all horror films that have a rating of 1. | SELECT T1.movieid FROM u2base AS T1 INNER JOIN movies2directors AS T2 ON T1.movieid = T2.movieid WHERE T1.rating = 1 AND T2.genre = 'Horror' | bird |
CREATE TABLE movielens (userid integer, age text, u_gender text, occupation text, directorid integer, d_quality integer, avg_revenue integer, actorid integer, a_gender text, a_quality integer, movieid integer, year integer, isEnglish text, country text, runningtime integer, movieid integer, actorid integer, cast_num integer, movieid integer, directorid integer, genre text, userid integer, movieid integer, rating text) | List the IDs of all the directors who worked on French films. | SELECT T2.directorid FROM movies AS T1 INNER JOIN movies2directors AS T2 ON T1.movieid = T2.movieid WHERE T1.country = 'France' | bird |
CREATE TABLE movielens (userid integer, age text, u_gender text, occupation text, directorid integer, d_quality integer, avg_revenue integer, actorid integer, a_gender text, a_quality integer, movieid integer, year integer, isEnglish text, country text, runningtime integer, movieid integer, actorid integer, cast_num integer, movieid integer, directorid integer, genre text, userid integer, movieid integer, rating text) | List all of the user ids and ages who rated movies with the id 1695219? | SELECT T2.userid, T2.age FROM u2base AS T1 INNER JOIN users AS T2 ON T1.userid = T2.userid WHERE T1.movieid = 1695219 | bird |
CREATE TABLE movielens (userid integer, age text, u_gender text, occupation text, directorid integer, d_quality integer, avg_revenue integer, actorid integer, a_gender text, a_quality integer, movieid integer, year integer, isEnglish text, country text, runningtime integer, movieid integer, actorid integer, cast_num integer, movieid integer, directorid integer, genre text, userid integer, movieid integer, rating text) | Which genre contains the greatest number of non-English films? | SELECT T2.genre FROM movies AS T1 INNER JOIN movies2directors AS T2 ON T1.movieid = T2.movieid WHERE T1.isEnglish = 'F' GROUP BY T2.genre ORDER BY COUNT(T1.movieid) DESC LIMIT 1 | bird |
CREATE TABLE movielens (userid integer, age text, u_gender text, occupation text, directorid integer, d_quality integer, avg_revenue integer, actorid integer, a_gender text, a_quality integer, movieid integer, year integer, isEnglish text, country text, runningtime integer, movieid integer, actorid integer, cast_num integer, movieid integer, directorid integer, genre text, userid integer, movieid integer, rating text) | List the cast and the director of the movie with the id 1949144. | SELECT T1.actorid, T2.directorid FROM movies2actors AS T1 INNER JOIN movies2directors AS T2 ON T1.movieid = T2.movieid WHERE T1.movieid = 1949144 | bird |
CREATE TABLE movielens (userid integer, age text, u_gender text, occupation text, directorid integer, d_quality integer, avg_revenue integer, actorid integer, a_gender text, a_quality integer, movieid integer, year integer, isEnglish text, country text, runningtime integer, movieid integer, actorid integer, cast_num integer, movieid integer, directorid integer, genre text, userid integer, movieid integer, rating text) | Among the actors who acted in UK movies, what percentage of actors received a rating of at least 3? | SELECT CAST(SUM(IIF(T3.a_quality >= 3, 1, 0)) AS REAL) * 100 / COUNT(T1.movieid) FROM movies AS T1 INNER JOIN movies2actors AS T2 ON T1.movieid = T2.movieid INNER JOIN actors AS T3 ON T2.actorid = T3.actorid WHERE T1.country = 'UK' | bird |
CREATE TABLE movielens (userid integer, age text, u_gender text, occupation text, directorid integer, d_quality integer, avg_revenue integer, actorid integer, a_gender text, a_quality integer, movieid integer, year integer, isEnglish text, country text, runningtime integer, movieid integer, actorid integer, cast_num integer, movieid integer, directorid integer, genre text, userid integer, movieid integer, rating text) | What is the proportion of action movies directors who are called 'box office success paradox'? | SELECT CAST(SUM(IIF(T2.avg_revenue > T2.d_quality, 1, 0)) AS REAL) * 100 / COUNT(T1.movieid) FROM movies2directors AS T1 INNER JOIN directors AS T2 ON T1.directorid = T2.directorid WHERE T1.genre = 'Action' | bird |
CREATE TABLE movielens (userid integer, age text, u_gender text, occupation text, directorid integer, d_quality integer, avg_revenue integer, actorid integer, a_gender text, a_quality integer, movieid integer, year integer, isEnglish text, country text, runningtime integer, movieid integer, actorid integer, cast_num integer, movieid integer, directorid integer, genre text, userid integer, movieid integer, rating text) | Please list the actor IDs whose movies have the newest published date. | SELECT T1.actorid FROM movies2actors AS T1 INNER JOIN movies AS T2 ON T1.movieid = T2.movieid WHERE T2.year = 4 | bird |
CREATE TABLE movielens (userid integer, age text, u_gender text, occupation text, directorid integer, d_quality integer, avg_revenue integer, actorid integer, a_gender text, a_quality integer, movieid integer, year integer, isEnglish text, country text, runningtime integer, movieid integer, actorid integer, cast_num integer, movieid integer, directorid integer, genre text, userid integer, movieid integer, rating text) | Who are cast members in an English movie which has a running time equal to 2? Please list their IDs. | SELECT T2.actorid FROM movies AS T1 INNER JOIN movies2actors AS T2 ON T1.movieid = T2.movieid WHERE T1.runningtime = 2 AND T1.isEnglish = 'T' | bird |
CREATE TABLE movielens (userid integer, age text, u_gender text, occupation text, directorid integer, d_quality integer, avg_revenue integer, actorid integer, a_gender text, a_quality integer, movieid integer, year integer, isEnglish text, country text, runningtime integer, movieid integer, actorid integer, cast_num integer, movieid integer, directorid integer, genre text, userid integer, movieid integer, rating text) | Which actor has acted in at least 2 French films? Please list their IDs. | SELECT T2.actorid FROM movies AS T1 INNER JOIN movies2actors AS T2 ON T1.movieid = T2.movieid WHERE T1.country = 'France' GROUP BY T2.actorid HAVING COUNT(T1.movieid) > 2 | bird |
CREATE TABLE movielens (userid integer, age text, u_gender text, occupation text, directorid integer, d_quality integer, avg_revenue integer, actorid integer, a_gender text, a_quality integer, movieid integer, year integer, isEnglish text, country text, runningtime integer, movieid integer, actorid integer, cast_num integer, movieid integer, directorid integer, genre text, userid integer, movieid integer, rating text) | How many American movies have cast number more than 1? | SELECT COUNT(T2.actorid) FROM movies AS T1 INNER JOIN movies2actors AS T2 ON T1.movieid = T2.movieid WHERE T1.country = 'USA' AND T2.cast_num > 1 | bird |
CREATE TABLE movielens (userid integer, age text, u_gender text, occupation text, directorid integer, d_quality integer, avg_revenue integer, actorid integer, a_gender text, a_quality integer, movieid integer, year integer, isEnglish text, country text, runningtime integer, movieid integer, actorid integer, cast_num integer, movieid integer, directorid integer, genre text, userid integer, movieid integer, rating text) | Please list movie IDs which has the oldest publication date and the cast numbers are zero. | SELECT DISTINCT T1.movieid FROM movies AS T1 INNER JOIN movies2actors AS T2 ON T1.movieid = T2.movieid WHERE T1.year = 1 AND T2.cast_num = 0 | bird |
CREATE TABLE movielens (userid integer, age text, u_gender text, occupation text, directorid integer, d_quality integer, avg_revenue integer, actorid integer, a_gender text, a_quality integer, movieid integer, year integer, isEnglish text, country text, runningtime integer, movieid integer, actorid integer, cast_num integer, movieid integer, directorid integer, genre text, userid integer, movieid integer, rating text) | How many actors have acted in both US or UK films? | SELECT COUNT(T1.actorid) FROM movies2actors AS T1 INNER JOIN movies AS T2 ON T1.movieid = T2.movieid WHERE T2.country = 'USA' OR T2.country = 'UK' | bird |
CREATE TABLE movielens (userid integer, age text, u_gender text, occupation text, directorid integer, d_quality integer, avg_revenue integer, actorid integer, a_gender text, a_quality integer, movieid integer, year integer, isEnglish text, country text, runningtime integer, movieid integer, actorid integer, cast_num integer, movieid integer, directorid integer, genre text, userid integer, movieid integer, rating text) | How many directors with average revenue of 4 have made either action or adventure films? | SELECT COUNT(T1.directorid) FROM directors AS T1 INNER JOIN movies2directors AS T2 ON T1.directorid = T2.directorid WHERE T1.avg_revenue = 4 AND (T2.genre = 'Adventure' OR T2.genre = 'Action') | bird |
CREATE TABLE movielens (userid integer, age text, u_gender text, occupation text, directorid integer, d_quality integer, avg_revenue integer, actorid integer, a_gender text, a_quality integer, movieid integer, year integer, isEnglish text, country text, runningtime integer, movieid integer, actorid integer, cast_num integer, movieid integer, directorid integer, genre text, userid integer, movieid integer, rating text) | Please list director IDs who have the quality of at least 3 and have made at least 2 different genres of movies. | SELECT T1.directorid FROM directors AS T1 INNER JOIN movies2directors AS T2 ON T1.directorid = T2.directorid WHERE T1.d_quality >= 3 GROUP BY T1.directorid HAVING COUNT(T2.movieid) >= 2 | bird |
CREATE TABLE movielens (userid integer, age text, u_gender text, occupation text, directorid integer, d_quality integer, avg_revenue integer, actorid integer, a_gender text, a_quality integer, movieid integer, year integer, isEnglish text, country text, runningtime integer, movieid integer, actorid integer, cast_num integer, movieid integer, directorid integer, genre text, userid integer, movieid integer, rating text) | How many American comedies are there? | SELECT COUNT(T1.movieid) FROM movies AS T1 INNER JOIN movies2directors AS T2 ON T1.movieid = T2.movieid WHERE T1.country = 'USA' AND T2.genre = 'comedy' | bird |
CREATE TABLE movielens (userid integer, age text, u_gender text, occupation text, directorid integer, d_quality integer, avg_revenue integer, actorid integer, a_gender text, a_quality integer, movieid integer, year integer, isEnglish text, country text, runningtime integer, movieid integer, actorid integer, cast_num integer, movieid integer, directorid integer, genre text, userid integer, movieid integer, rating text) | How many latest released dramas and action movies? | SELECT COUNT(T1.movieid) FROM movies2directors AS T1 INNER JOIN movies AS T2 ON T1.movieid = T2.movieid WHERE T2.year = 4 AND T1.genre IN ('Action', 'drama') | bird |
CREATE TABLE movielens (userid integer, age text, u_gender text, occupation text, directorid integer, d_quality integer, avg_revenue integer, actorid integer, a_gender text, a_quality integer, movieid integer, year integer, isEnglish text, country text, runningtime integer, movieid integer, actorid integer, cast_num integer, movieid integer, directorid integer, genre text, userid integer, movieid integer, rating text) | What horror movies have a running time of at least 2? Please list movie IDs. | SELECT T1.movieid FROM movies2directors AS T1 INNER JOIN movies AS T2 ON T1.movieid = T2.movieid WHERE T2.runningtime >= 2 AND T1.genre = 'Horror' | bird |
CREATE TABLE movielens (userid integer, age text, u_gender text, occupation text, directorid integer, d_quality integer, avg_revenue integer, actorid integer, a_gender text, a_quality integer, movieid integer, year integer, isEnglish text, country text, runningtime integer, movieid integer, actorid integer, cast_num integer, movieid integer, directorid integer, genre text, userid integer, movieid integer, rating text) | Please calculate negative critical reception of American movies | SELECT CAST(SUM(IIF(T1.rating = 1, 1, 0)) AS REAL) * 100 / COUNT(T1.movieid) FROM u2base AS T1 INNER JOIN movies AS T2 ON T1.movieid = T2.movieid WHERE T2.country = 'USA' | bird |
CREATE TABLE movielens (userid integer, age text, u_gender text, occupation text, directorid integer, d_quality integer, avg_revenue integer, actorid integer, a_gender text, a_quality integer, movieid integer, year integer, isEnglish text, country text, runningtime integer, movieid integer, actorid integer, cast_num integer, movieid integer, directorid integer, genre text, userid integer, movieid integer, rating text) | What is the disparate number of the comedy films that got the 1 rating? | SELECT COUNT(DISTINCT T1.movieid) FROM movies2directors AS T1 INNER JOIN u2base AS T2 ON T1.movieid = T2.movieid WHERE T2.rating = 1 AND T1.genre = 'comedy' | bird |
CREATE TABLE movielens (userid integer, age text, u_gender text, occupation text, directorid integer, d_quality integer, avg_revenue integer, actorid integer, a_gender text, a_quality integer, movieid integer, year integer, isEnglish text, country text, runningtime integer, movieid integer, actorid integer, cast_num integer, movieid integer, directorid integer, genre text, userid integer, movieid integer, rating text) | What's different average revenue status for director who directed the movie that got the most 1 ratings? | SELECT DISTINCT T1.avg_revenue FROM directors AS T1 INNER JOIN movies2directors AS T2 ON T1.directorid = T2.directorid WHERE T1.d_quality = 5 | bird |
CREATE TABLE movielens (userid integer, age text, u_gender text, occupation text, directorid integer, d_quality integer, avg_revenue integer, actorid integer, a_gender text, a_quality integer, movieid integer, year integer, isEnglish text, country text, runningtime integer, movieid integer, actorid integer, cast_num integer, movieid integer, directorid integer, genre text, userid integer, movieid integer, rating text) | How many French movies got the highest ranking? | SELECT COUNT(movieid) FROM movies WHERE country = 'France' AND movieid IN ( SELECT movieid FROM u2base WHERE rating = ( SELECT MAX(rating) FROM u2base ) ) | bird |
CREATE TABLE movielens (userid integer, age text, u_gender text, occupation text, directorid integer, d_quality integer, avg_revenue integer, actorid integer, a_gender text, a_quality integer, movieid integer, year integer, isEnglish text, country text, runningtime integer, movieid integer, actorid integer, cast_num integer, movieid integer, directorid integer, genre text, userid integer, movieid integer, rating text) | List the movie that has been rated most by 25 years old users. | SELECT T2.movieid FROM users AS T1 INNER JOIN u2base AS T2 ON T1.userid = T2.userid WHERE T1.age = 25 GROUP BY T2.movieid ORDER BY COUNT(T1.userid) DESC LIMIT 1 | bird |
CREATE TABLE movielens (userid integer, age text, u_gender text, occupation text, directorid integer, d_quality integer, avg_revenue integer, actorid integer, a_gender text, a_quality integer, movieid integer, year integer, isEnglish text, country text, runningtime integer, movieid integer, actorid integer, cast_num integer, movieid integer, directorid integer, genre text, userid integer, movieid integer, rating text) | How many separate 35 year-old uesers have rated the movie from UK? | SELECT COUNT(DISTINCT T2.userid) FROM movies AS T1 INNER JOIN u2base AS T2 ON T1.movieid = T2.movieid INNER JOIN users AS T3 ON T2.userid = T3.userid WHERE T1.country = 'UK' AND T3.age = 35 | bird |
CREATE TABLE movielens (userid integer, age text, u_gender text, occupation text, directorid integer, d_quality integer, avg_revenue integer, actorid integer, a_gender text, a_quality integer, movieid integer, year integer, isEnglish text, country text, runningtime integer, movieid integer, actorid integer, cast_num integer, movieid integer, directorid integer, genre text, userid integer, movieid integer, rating text) | List the user ids and ages who gave the rate 2 to the movie No. 2409051. | SELECT T1.userid, T1.age FROM users AS T1 INNER JOIN u2base AS T2 ON T1.userid = T2.userid WHERE T2.movieid = '2409051' AND T2.rating = 2 | bird |
CREATE TABLE movielens (userid integer, age text, u_gender text, occupation text, directorid integer, d_quality integer, avg_revenue integer, actorid integer, a_gender text, a_quality integer, movieid integer, year integer, isEnglish text, country text, runningtime integer, movieid integer, actorid integer, cast_num integer, movieid integer, directorid integer, genre text, userid integer, movieid integer, rating text) | Please give the ids of the oldest films that got the most ratings. | SELECT DISTINCT T1.movieid FROM u2base AS T1 INNER JOIN movies AS T2 ON T1.movieid = T2.movieid WHERE T1.rating = 5 AND T2.year = 1 | bird |
CREATE TABLE movielens (userid integer, age text, u_gender text, occupation text, directorid integer, d_quality integer, avg_revenue integer, actorid integer, a_gender text, a_quality integer, movieid integer, year integer, isEnglish text, country text, runningtime integer, movieid integer, actorid integer, cast_num integer, movieid integer, directorid integer, genre text, userid integer, movieid integer, rating text) | Which different movies from France got the least ratings? | SELECT DISTINCT T1.movieid FROM u2base AS T1 INNER JOIN movies AS T2 ON T1.movieid = T2.movieid WHERE T2.country = 'France' AND T1.rating = 1 | bird |
CREATE TABLE movielens (userid integer, age text, u_gender text, occupation text, directorid integer, d_quality integer, avg_revenue integer, actorid integer, a_gender text, a_quality integer, movieid integer, year integer, isEnglish text, country text, runningtime integer, movieid integer, actorid integer, cast_num integer, movieid integer, directorid integer, genre text, userid integer, movieid integer, rating text) | How many female actors have been played a role in any of French or USA movies? | SELECT COUNT(T2.actorid) FROM movies AS T1 INNER JOIN movies2actors AS T2 ON T1.movieid = T2.movieid WHERE T1.country IN ('France', 'USA') | bird |
CREATE TABLE movielens (userid integer, age text, u_gender text, occupation text, directorid integer, d_quality integer, avg_revenue integer, actorid integer, a_gender text, a_quality integer, movieid integer, year integer, isEnglish text, country text, runningtime integer, movieid integer, actorid integer, cast_num integer, movieid integer, directorid integer, genre text, userid integer, movieid integer, rating text) | How many different actors have played a role in the highest rating movie? | SELECT COUNT(DISTINCT T2.actorid) FROM u2base AS T1 INNER JOIN movies2actors AS T2 ON T1.movieid = T2.movieid WHERE T1.rating = 5 | bird |
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