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validation · 75 rows

table listlengths 4 101	table_id stringlengths 4 20	database_id stringclasses 11 values	context dict
[ [ "CustomerID", "Segment", "Currency" ], [ "3", "SME", "EUR" ], [ "5", "LAM", "EUR" ], [ "6", "SME", "EUR" ], [ "7", "LAM", "EUR" ], [ "9", "SME", "EUR" ], [ "10", "LAM", "EUR" ], [ "20", "KAM", ...	customers	debit_card_specializing	{ "column_descriptions": [ "identification of the customer", "client segment", "Currency" ], "column_names_cleaned": [ "CustomerID", "client segment", "Currency" ], "column_types": [ "integer", "text", "text" ], "foreign_keys": [], "primary_key": [ "CustomerID" ...
[ [ "GasStationID", "ChainID", "Country", "Segment" ], [ "44", "13", "CZE", "Value for money" ], [ "45", "6", "CZE", "Premium" ], [ "46", "23", "CZE", "Other" ], [ "47", "33", "CZE", "Premium" ], [ "48", "4", ...	gasstations	debit_card_specializing	{ "column_descriptions": [ "Gas Station ID", "Chain ID", "nan", "chain segment" ], "column_names_cleaned": [ "Gas Station ID", "Chain ID", "Country", "chain segment" ], "column_types": [ "integer", "integer", "text", "text" ], "foreign_keys": [], "primary_...
[ [ "ProductID", "Description" ], [ "1", "Rucní zadání" ], [ "2", "Nafta" ], [ "3", "Special" ], [ "4", "Super" ], [ "5", "Natural" ], [ "6", "Mix" ], [ "7", "Oleje,tuky" ], [ "8", "Natural +" ], [ "9", ...	products	debit_card_specializing	{ "column_descriptions": [ "Product ID", "Description" ], "column_names_cleaned": [ "Product ID", "Description" ], "column_types": [ "integer", "text" ], "foreign_keys": [], "primary_key": [ "ProductID" ] }
[ [ "TransactionID", "Date", "Time", "CustomerID", "CardID", "GasStationID", "ProductID", "Amount", "Price" ], [ "1", "2012-08-24", "09:41:00", "31543", "486621", "3704", "2", "28", "672.64" ], [ "2", "2012-08-24", "10:03:00",...	transactions_1k	debit_card_specializing	{ "column_descriptions": [ "Transaction ID", "Date", "Time", "Customer ID", "Card ID", "Gas Station ID", "Product ID", "Amount", "Price" ], "column_names_cleaned": [ "Transaction ID", "Date", "Time", "Customer ID", "Card ID", "Gas Station ID", "Produ...
[ [ "CustomerID", "Date", "Consumption" ], [ "5", "201207", "528.3" ], [ "5", "201302", "1598.28" ], [ "5", "201303", "1931.36" ], [ "5", "201304", "1497.14" ], [ "6", "201203", "51.06" ], [ "6", "201205", "49....	yearmonth	debit_card_specializing	{ "column_descriptions": [ "Customer ID", "Date", "consumption" ], "column_names_cleaned": [ "Customer ID", "Date", "Consumption" ], "column_types": [ "integer", "text", "real" ], "foreign_keys": [ { "column_name": "CustomerID", "referenced_column_name":...
[ [ "account_id", "district_id", "frequency", "date" ], [ "1", "18", "POPLATEK MESICNE", "1995-03-24" ], [ "2", "1", "POPLATEK MESICNE", "1993-02-26" ], [ "3", "5", "POPLATEK MESICNE", "1997-07-07" ], [ "4", "12", "POPLATEK ME...	account	financial	{ "column_descriptions": [ "the id of the account", "location of branch", "frequency of the acount", "the creation date of the account" ], "column_names_cleaned": [ "account id", "location of branch", "frequency", "date" ], "column_types": [ "integer", "integer", "t...
[ [ "card_id", "disp_id", "type", "issued" ], [ "1", "9", "gold", "1998-10-16" ], [ "2", "19", "classic", "1998-03-13" ], [ "3", "41", "gold", "1995-09-03" ], [ "4", "42", "classic", "1998-11-26" ], [ "5", "51"...	card	financial	{ "column_descriptions": [ "id number of credit card", "disposition id", "type of credit card", "the date when the credit card issued" ], "column_names_cleaned": [ "credit card id", "disposition id", "type", "issued" ], "column_types": [ "integer", "integer", "text"...
[ [ "client_id", "gender", "birth_date", "district_id" ], [ "1", "F", "1970-12-13", "18" ], [ "2", "M", "1945-02-04", "1" ], [ "3", "F", "1940-10-09", "1" ], [ "4", "M", "1956-12-01", "5" ], [ "5", "F", "19...	client	financial	{ "column_descriptions": [ "the unique number", "nan", "birth date", "location of branch" ], "column_names_cleaned": [ "client_id", "gender", "birth_date", "location of branch" ], "column_types": [ "integer", "text", "date", "integer" ], "foreign_keys": [ ...
[ [ "disp_id", "client_id", "account_id", "type" ], [ "1", "1", "1", "OWNER" ], [ "2", "2", "2", "OWNER" ], [ "3", "3", "2", "DISPONENT" ], [ "4", "4", "3", "OWNER" ], [ "5", "5", "3", "DISPONENT" ], ...	disp	financial	{ "column_descriptions": [ "unique number of identifying this row of record", "id number of client", "id number of account", "type of disposition" ], "column_names_cleaned": [ "disposition id", "client_id", "account_id", "type" ], "column_types": [ "integer", "integer",...
[ [ "district_id", "A2", "A3", "A4", "A5", "A6", "A7", "A8", "A9", "A10", "A11", "A12", "A13", "A14", "A15", "A16" ], [ "1", "Hl.m. Praha", "Prague", "1204953", "0", "0", "0", "1", "1", "100.0", "12541", ...	district	financial	{ "column_descriptions": [ "location of branch", "district_name", "region", "nan", "municipality < district < region", "municipality < district < region", "municipality < district < region", "municipality < district < region", "nan", "ratio of urban inhabitants", "average s...
[ [ "loan_id", "account_id", "date", "amount", "duration", "payments", "status" ], [ "4959", "2", "1994-01-05", "80952", "24", "3373.0", "A" ], [ "4961", "19", "1996-04-29", "30276", "12", "2523.0", "B" ], [ "4962", ...	loan	financial	{ "column_descriptions": [ "the id number identifying the loan data", "the id number identifying the account", "the date when the loan is approved", "approved amount", "loan duration", "monthly payments", "repayment status" ], "column_names_cleaned": [ "loan_id", "account_id", ...
[ [ "order_id", "account_id", "bank_to", "account_to", "amount", "k_symbol" ], [ "29401", "1", "YZ", "87144583", "2452.0", "SIPO" ], [ "29402", "2", "ST", "89597016", "3372.7", "UVER" ], [ "29403", "2", "QR", "13943797...	order	financial	{ "column_descriptions": [ "identifying the unique order", "id number of account", "bank of the recipient", "account of the recipient", "debited amount", "purpose of the payment" ], "column_names_cleaned": [ "order_id", "account_id", "bank of the recipient", "account of the...
[ [ "trans_id", "account_id", "date", "type", "operation", "amount", "balance", "k_symbol", "bank", "account" ], [ "1", "1", "1995-03-24", "PRIJEM", "VKLAD", "1000", "1000", "None", "None", "None" ], [ "5", "1", "1995-...	trans	financial	{ "column_descriptions": [ "transaction id", "nan", "date of transaction", "+/- transaction", "mode of transaction", "amount of money", "balance after transaction", "nan", "nan", "nan" ], "column_names_cleaned": [ "transaction id", "account_id", "date of transac...
[ [ "circuitId", "circuitRef", "name", "location", "country", "lat", "lng", "alt", "url" ], [ "2", "sepang", "Sepang International Circuit", "Kuala Lumpur", "Malaysia", "2.76083", "101.738", "None", "http://en.wikipedia.org/wiki/Sepang_Intern...	circuits	formula_1	{ "column_descriptions": [ "unique identification number of the circuit", "circuit reference name", "full name of circuit", "location of circuit", "country of circuit", "latitude of location of circuit", "longitude of location of circuit", "nan", "url" ], "column_names_cleaned"...
[ [ "constructorId", "constructorRef", "name", "nationality", "url" ], [ "1", "mclaren", "McLaren", "British", "http://en.wikipedia.org/wiki/McLaren" ], [ "2", "bmw_sauber", "BMW Sauber", "German", "http://en.wikipedia.org/wiki/BMW_Sauber" ], [ ...	constructors	formula_1	{ "column_descriptions": [ "the unique identification number identifying constructors", "Constructor Reference name", "full name of the constructor", "nationality of the constructor", "the introduction website of the constructor" ], "column_names_cleaned": [ "constructor Id", "Construc...
[ [ "driverId", "driverRef", "number", "code", "forename", "surname", "dob", "nationality", "url" ], [ "1", "hamilton", "44", "HAM", "Lewis", "Hamilton", "1985-01-07", "British", "http://en.wikipedia.org/wiki/Lewis_Hamilton" ], [ "2",...	drivers	formula_1	{ "column_descriptions": [ "the unique identification number identifying each driver", "driver reference name", "number", "abbreviated code for drivers", "forename", "surname", "date of birth", "nationality of drivers", "the introduction website of the drivers" ], "column_names...
[ [ "year", "url" ], [ "1950", "http://en.wikipedia.org/wiki/1950_Formula_One_season" ], [ "1951", "http://en.wikipedia.org/wiki/1951_Formula_One_season" ], [ "1952", "http://en.wikipedia.org/wiki/1952_Formula_One_season" ], [ "1953", "http://en.wikipedia.org/wi...	seasons	formula_1	{ "column_descriptions": [ "the unique identification number identifying the race", "website link of season race introduction" ], "column_names_cleaned": [ "race ID", "url" ], "column_types": [ "integer", "text" ], "foreign_keys": [], "primary_key": [ "year" ] }
[ [ "raceId", "year", "round", "circuitId", "name", "date", "time", "url" ], [ "1", "2009", "1", "1", "Australian Grand Prix", "2009-03-29", "06:00:00", "http://en.wikipedia.org/wiki/2009_Australian_Grand_Prix" ], [ "2", "2009", "2", ...	races	formula_1	{ "column_descriptions": [ "the unique identification number identifying the race", "year", "round", "circuit Id", "name of the race", "duration time", "time of the location", "introduction of races" ], "column_names_cleaned": [ "race ID", "year", "round", "Circuit ...
[ [ "constructorResultsId", "raceId", "constructorId", "points", "status" ], [ "1", "18", "1", "14.0", "None" ], [ "2", "18", "2", "8.0", "None" ], [ "3", "18", "3", "9.0", "None" ], [ "4", "18", "4", "5.0"...	constructorResults	formula_1	{ "column_descriptions": [ "constructor Results Id", "race id", "constructor id", "points", "status" ], "column_names_cleaned": [ "constructor Results Id", "race Id", "constructor Id", "points", "status" ], "column_types": [ "integer", "integer", "integer", ...
[ [ "constructorStandingsId", "raceId", "constructorId", "points", "position", "positionText", "wins" ], [ "1", "18", "1", "14.0", "1", "1", "1" ], [ "2", "18", "2", "8.0", "3", "3", "0" ], [ "3", "18", "3", ...	constructorStandings	formula_1	{ "column_descriptions": [ "unique identification of the constructor standing records", "id number identifying which races", "id number identifying which id", "how many points acquired in each race", "position or track of circuits", "nan", "wins" ], "column_names_cleaned": [ "const...
[ [ "driverStandingsId", "raceId", "driverId", "points", "position", "positionText", "wins" ], [ "1", "18", "1", "10.0", "1", "1", "1" ], [ "2", "18", "2", "8.0", "2", "2", "0" ], [ "3", "18", "3", "6.0", ...	driverStandings	formula_1	{ "column_descriptions": [ "the unique identification number identifying driver standing records", "id number identifying which races", "id number identifying which drivers", "how many points acquired in each race", "position or track of circuits", "nan", "wins" ], "column_names_cleane...
[ [ "raceId", "driverId", "lap", "position", "time", "milliseconds" ], [ "1", "1", "1", "13", "1:49.088", "109088" ], [ "1", "1", "2", "12", "1:33.740", "93740" ], [ "1", "1", "3", "11", "1:31.600", "91600" ]...	lapTimes	formula_1	{ "column_descriptions": [ "the identification number identifying race", "the identification number identifying each driver", "lap number", "position or track of circuits", "lap time", "milliseconds" ], "column_names_cleaned": [ "race ID", "driver ID", "lap", "position", ...
[ [ "raceId", "driverId", "stop", "lap", "time", "duration", "milliseconds" ], [ "841", "1", "1", "16", "17:28:24", "23.227", "23227" ], [ "841", "1", "2", "36", "17:59:29", "23.199", "23199" ], [ "841", "2", "...	pitStops	formula_1	{ "column_descriptions": [ "the identification number identifying race", "the identification number identifying each driver", "stop number", "lap number", "time", "duration time", "milliseconds" ], "column_names_cleaned": [ "race ID", "driver ID", "stop", "lap", "ti...
[ [ "qualifyId", "raceId", "driverId", "constructorId", "number", "position", "q1", "q2", "q3" ], [ "1", "18", "1", "1", "22", "1", "1:26.572", "1:25.187", "1:26.714" ], [ "2", "18", "9", "2", "4", "2", "1:26.1...	qualifying	formula_1	{ "column_descriptions": [ "the unique identification number identifying qualifying", "the identification number identifying each race", "the identification number identifying each driver", "constructor Id", "number", "position or track of circuit", "time in qualifying 1", "time in qua...
[ [ "statusId", "status" ], [ "1", "Finished" ], [ "2", "Disqualified" ], [ "3", "Accident" ], [ "4", "Collision" ], [ "5", "Engine" ], [ "6", "Gearbox" ], [ "7", "Transmission" ], [ "8", "Clutch" ], [ "9",...	status	formula_1	{ "column_descriptions": [ "the unique identification number identifying status", "full name of status" ], "column_names_cleaned": [ "status ID", "status" ], "column_types": [ "integer", "text" ], "foreign_keys": [], "primary_key": [ "statusId" ] }
[ [ "resultId", "raceId", "driverId", "constructorId", "number", "grid", "position", "positionText", "positionOrder", "points", "laps", "time", "milliseconds", "fastestLap", "rank", "fastestLapTime", "fastestLapSpeed", "statusId" ], [ "1"...	results	formula_1	{ "column_descriptions": [ "the unique identification number identifying race result", "the identification number identifying the race", "the identification number identifying the driver", "the identification number identifying which constructors", "number", "the number identifying the area wh...
[ [ "CDSCode", "Academic Year", "County Code", "District Code", "School Code", "County Name", "District Name", "School Name", "District Type", "School Type", "Educational Option Type", "NSLP Provision Status", "Charter School (Y/N)", "Charter School Number", ...	frpm	california_schools	{ "column_descriptions": [ "CDSCode", "Academic Year", "County Code", "District Code", "School Code", "County Code", "District Name", "School Name", "District Type", "School Type", "Educational Option Type", "NSLP Provision Status", "Charter School (Y/N)", "Char...

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bibtex ref

@article{li2024can,
  title={Can llm already serve as a database interface? a big bench for large-scale database grounded text-to-sqls},
  author={Li, Jinyang and Hui, Binyuan and Qu, Ge and Yang, Jiaxi and Li, Binhua and Li, Bowen and Wang, Bailin and Qin, Bowen and Geng, Ruiying and Huo, Nan and others},
  journal={Advances in Neural Information Processing Systems},
  volume={36},
  year={2024}
}

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