README.md

---
license: cc-by-4.0
pretty_name: Decision-Bench
language:
- en
tags:
- synthetic
- text-to-sql
- data-analysis
- agents
- benchmark
- warehouse
size_categories:
- 1B<n<10B
configs:
- config_name: AP_CHECKS_ALL
  data_files:
  - split: train
    path: data/AP_CHECKS_ALL/*.parquet
- config_name: AP_HOLDS_ALL
  data_files:
  - split: train
    path: data/AP_HOLDS_ALL/*.parquet
- config_name: AP_HOLD_CODES
  data_files:
  - split: train
    path: data/AP_HOLD_CODES/*.parquet
- config_name: AP_INVOICES_ALL
  data_files:
  - split: train
    path: data/AP_INVOICES_ALL/*.parquet
- config_name: AP_INVOICE_DISTRIBUTIONS_ALL
  data_files:
  - split: train
    path: data/AP_INVOICE_DISTRIBUTIONS_ALL/*.parquet
- config_name: AP_INVOICE_LINES_ALL
  data_files:
  - split: train
    path: data/AP_INVOICE_LINES_ALL/*.parquet
- config_name: AP_INVOICE_PAYMENTS_ALL
  data_files:
  - split: train
    path: data/AP_INVOICE_PAYMENTS_ALL/*.parquet
- config_name: AP_PAYMENT_SCHEDULES_ALL
  data_files:
  - split: train
    path: data/AP_PAYMENT_SCHEDULES_ALL/*.parquet
- config_name: AP_SUPPLIERS
  data_files:
  - split: train
    path: data/AP_SUPPLIERS/*.parquet
- config_name: AP_SUPPLIER_SITES_ALL
  data_files:
  - split: train
    path: data/AP_SUPPLIER_SITES_ALL/*.parquet
- config_name: AP_TERMS_LINES
  data_files:
  - split: train
    path: data/AP_TERMS_LINES/*.parquet
- config_name: AP_TERMS_TL
  data_files:
  - split: train
    path: data/AP_TERMS_TL/*.parquet
- config_name: AR_ADJUSTMENTS_ALL
  data_files:
  - split: train
    path: data/AR_ADJUSTMENTS_ALL/*.parquet
- config_name: AR_AGING_BUCKETS
  data_files:
  - split: train
    path: data/AR_AGING_BUCKETS/*.parquet
- config_name: AR_AGING_BUCKET_LINES_B
  data_files:
  - split: train
    path: data/AR_AGING_BUCKET_LINES_B/*.parquet
- config_name: AR_AGING_BUCKET_LINES_TL
  data_files:
  - split: train
    path: data/AR_AGING_BUCKET_LINES_TL/*.parquet
- config_name: AR_BATCHES_ALL
  data_files:
  - split: train
    path: data/AR_BATCHES_ALL/*.parquet
- config_name: AR_CASH_RECEIPTS_ALL
  data_files:
  - split: train
    path: data/AR_CASH_RECEIPTS_ALL/*.parquet
- config_name: AR_CASH_RECEIPT_HISTORY_ALL
  data_files:
  - split: train
    path: data/AR_CASH_RECEIPT_HISTORY_ALL/*.parquet
- config_name: AR_DISTRIBUTIONS_ALL
  data_files:
  - split: train
    path: data/AR_DISTRIBUTIONS_ALL/*.parquet
- config_name: AR_PAYMENT_SCHEDULES_ALL
  data_files:
  - split: train
    path: data/AR_PAYMENT_SCHEDULES_ALL/*.parquet
- config_name: AR_RECEIPT_CLASSES
  data_files:
  - split: train
    path: data/AR_RECEIPT_CLASSES/*.parquet
- config_name: AR_RECEIPT_METHODS
  data_files:
  - split: train
    path: data/AR_RECEIPT_METHODS/*.parquet
- config_name: AR_RECEIVABLES_TRX_ALL
  data_files:
  - split: train
    path: data/AR_RECEIVABLES_TRX_ALL/*.parquet
- config_name: AR_RECEIVABLE_APPLICATIONS_ALL
  data_files:
  - split: train
    path: data/AR_RECEIVABLE_APPLICATIONS_ALL/*.parquet
- config_name: CE_BANK_ACCOUNTS
  data_files:
  - split: train
    path: data/CE_BANK_ACCOUNTS/*.parquet
- config_name: CE_BANK_ACCT_USES_ALL
  data_files:
  - split: train
    path: data/CE_BANK_ACCT_USES_ALL/*.parquet
- config_name: CE_GL_ACCOUNTS_CCID
  data_files:
  - split: train
    path: data/CE_GL_ACCOUNTS_CCID/*.parquet
- config_name: CE_STATEMENT_HEADERS
  data_files:
  - split: train
    path: data/CE_STATEMENT_HEADERS/*.parquet
- config_name: CE_STATEMENT_HEADERS_INT
  data_files:
  - split: train
    path: data/CE_STATEMENT_HEADERS_INT/*.parquet
- config_name: CE_STATEMENT_LINES
  data_files:
  - split: train
    path: data/CE_STATEMENT_LINES/*.parquet
- config_name: CE_STATEMENT_LINES_INTERFACE
  data_files:
  - split: train
    path: data/CE_STATEMENT_LINES_INTERFACE/*.parquet
- config_name: CE_STATEMENT_RECONCILS_ALL
  data_files:
  - split: train
    path: data/CE_STATEMENT_RECONCILS_ALL/*.parquet
- config_name: CE_SYSTEM_PARAMETERS
  data_files:
  - split: train
    path: data/CE_SYSTEM_PARAMETERS/*.parquet
- config_name: CE_TRANSACTION_CODES
  data_files:
  - split: train
    path: data/CE_TRANSACTION_CODES/*.parquet
- config_name: FND_APPLICATION
  data_files:
  - split: train
    path: data/FND_APPLICATION/*.parquet
- config_name: FND_APPLICATION_TL
  data_files:
  - split: train
    path: data/FND_APPLICATION_TL/*.parquet
- config_name: FND_CONCURRENT_PROGRAMS
  data_files:
  - split: train
    path: data/FND_CONCURRENT_PROGRAMS/*.parquet
- config_name: FND_CONCURRENT_PROGRAMS_TL
  data_files:
  - split: train
    path: data/FND_CONCURRENT_PROGRAMS_TL/*.parquet
- config_name: FND_CONCURRENT_REQUESTS
  data_files:
  - split: train
    path: data/FND_CONCURRENT_REQUESTS/*.parquet
- config_name: FND_CURRENCIES
  data_files:
  - split: train
    path: data/FND_CURRENCIES/*.parquet
- config_name: FND_CURRENCIES_TL
  data_files:
  - split: train
    path: data/FND_CURRENCIES_TL/*.parquet
- config_name: FND_FLEX_HIERARCHIES
  data_files:
  - split: train
    path: data/FND_FLEX_HIERARCHIES/*.parquet
- config_name: FND_FLEX_HIERARCHIES_TL
  data_files:
  - split: train
    path: data/FND_FLEX_HIERARCHIES_TL/*.parquet
- config_name: FND_FLEX_VALIDATION_QUALIFIERS
  data_files:
  - split: train
    path: data/FND_FLEX_VALIDATION_QUALIFIERS/*.parquet
- config_name: FND_FLEX_VALUES
  data_files:
  - split: train
    path: data/FND_FLEX_VALUES/*.parquet
- config_name: FND_FLEX_VALUES_TL
  data_files:
  - split: train
    path: data/FND_FLEX_VALUES_TL/*.parquet
- config_name: FND_FLEX_VALUE_HIERARCHIES
  data_files:
  - split: train
    path: data/FND_FLEX_VALUE_HIERARCHIES/*.parquet
- config_name: FND_FLEX_VALUE_NORM_HIERARCHY
  data_files:
  - split: train
    path: data/FND_FLEX_VALUE_NORM_HIERARCHY/*.parquet
- config_name: FND_FLEX_VALUE_SETS
  data_files:
  - split: train
    path: data/FND_FLEX_VALUE_SETS/*.parquet
- config_name: FND_ID_FLEXS
  data_files:
  - split: train
    path: data/FND_ID_FLEXS/*.parquet
- config_name: FND_ID_FLEX_SEGMENTS
  data_files:
  - split: train
    path: data/FND_ID_FLEX_SEGMENTS/*.parquet
- config_name: FND_ID_FLEX_SEGMENTS_TL
  data_files:
  - split: train
    path: data/FND_ID_FLEX_SEGMENTS_TL/*.parquet
- config_name: FND_ID_FLEX_STRUCTURES
  data_files:
  - split: train
    path: data/FND_ID_FLEX_STRUCTURES/*.parquet
- config_name: FND_ID_FLEX_STRUCTURES_TL
  data_files:
  - split: train
    path: data/FND_ID_FLEX_STRUCTURES_TL/*.parquet
- config_name: FND_LANGUAGES
  data_files:
  - split: train
    path: data/FND_LANGUAGES/*.parquet
- config_name: FND_LOOKUP_TYPES
  data_files:
  - split: train
    path: data/FND_LOOKUP_TYPES/*.parquet
- config_name: FND_LOOKUP_TYPES_TL
  data_files:
  - split: train
    path: data/FND_LOOKUP_TYPES_TL/*.parquet
- config_name: FND_LOOKUP_VALUES
  data_files:
  - split: train
    path: data/FND_LOOKUP_VALUES/*.parquet
- config_name: FND_RESPONSIBILITY
  data_files:
  - split: train
    path: data/FND_RESPONSIBILITY/*.parquet
- config_name: FND_RESPONSIBILITY_TL
  data_files:
  - split: train
    path: data/FND_RESPONSIBILITY_TL/*.parquet
- config_name: FND_TERRITORIES
  data_files:
  - split: train
    path: data/FND_TERRITORIES/*.parquet
- config_name: FND_TERRITORIES_TL
  data_files:
  - split: train
    path: data/FND_TERRITORIES_TL/*.parquet
- config_name: FND_USER
  data_files:
  - split: train
    path: data/FND_USER/*.parquet
- config_name: GL_ACCOUNT_HIERARCHIES
  data_files:
  - split: train
    path: data/GL_ACCOUNT_HIERARCHIES/*.parquet
- config_name: GL_BALANCES
  data_files:
  - split: train
    path: data/GL_BALANCES/*.parquet
- config_name: GL_CODE_COMBINATIONS
  data_files:
  - split: train
    path: data/GL_CODE_COMBINATIONS/*.parquet
- config_name: GL_IMPORT_REFERENCES
  data_files:
  - split: train
    path: data/GL_IMPORT_REFERENCES/*.parquet
- config_name: GL_INTERFACE
  data_files:
  - split: train
    path: data/GL_INTERFACE/*.parquet
- config_name: GL_JE_BATCHES
  data_files:
  - split: train
    path: data/GL_JE_BATCHES/*.parquet
- config_name: GL_JE_CATEGORIES_TL
  data_files:
  - split: train
    path: data/GL_JE_CATEGORIES_TL/*.parquet
- config_name: GL_JE_HEADERS
  data_files:
  - split: train
    path: data/GL_JE_HEADERS/*.parquet
- config_name: GL_JE_LINES
  data_files:
  - split: train
    path: data/GL_JE_LINES/*.parquet
- config_name: GL_JE_SOURCES_TL
  data_files:
  - split: train
    path: data/GL_JE_SOURCES_TL/*.parquet
- config_name: GL_LEDGERS
  data_files:
  - split: train
    path: data/GL_LEDGERS/*.parquet
- config_name: GL_PERIODS
  data_files:
  - split: train
    path: data/GL_PERIODS/*.parquet
- config_name: GL_PERIOD_STATUSES
  data_files:
  - split: train
    path: data/GL_PERIOD_STATUSES/*.parquet
- config_name: GL_SUMMARY_TEMPLATES
  data_files:
  - split: train
    path: data/GL_SUMMARY_TEMPLATES/*.parquet
- config_name: HR_ALL_ORGANIZATION_UNITS
  data_files:
  - split: train
    path: data/HR_ALL_ORGANIZATION_UNITS/*.parquet
- config_name: HR_LOCATIONS_ALL
  data_files:
  - split: train
    path: data/HR_LOCATIONS_ALL/*.parquet
- config_name: HR_OPERATING_UNITS
  data_files:
  - split: train
    path: data/HR_OPERATING_UNITS/*.parquet
- config_name: HR_ORGANIZATION_INFORMATION
  data_files:
  - split: train
    path: data/HR_ORGANIZATION_INFORMATION/*.parquet
- config_name: HZ_CODE_ASSIGNMENTS
  data_files:
  - split: train
    path: data/HZ_CODE_ASSIGNMENTS/*.parquet
- config_name: HZ_CONTACT_POINTS
  data_files:
  - split: train
    path: data/HZ_CONTACT_POINTS/*.parquet
- config_name: HZ_CUSTOMER_PROFILES
  data_files:
  - split: train
    path: data/HZ_CUSTOMER_PROFILES/*.parquet
- config_name: HZ_CUST_ACCOUNTS
  data_files:
  - split: train
    path: data/HZ_CUST_ACCOUNTS/*.parquet
- config_name: HZ_CUST_ACCOUNT_ROLES
  data_files:
  - split: train
    path: data/HZ_CUST_ACCOUNT_ROLES/*.parquet
- config_name: HZ_CUST_ACCT_SITES_ALL
  data_files:
  - split: train
    path: data/HZ_CUST_ACCT_SITES_ALL/*.parquet
- config_name: HZ_CUST_PROFILE_CLASSES
  data_files:
  - split: train
    path: data/HZ_CUST_PROFILE_CLASSES/*.parquet
- config_name: HZ_CUST_SITE_USES_ALL
  data_files:
  - split: train
    path: data/HZ_CUST_SITE_USES_ALL/*.parquet
- config_name: HZ_LOCATIONS
  data_files:
  - split: train
    path: data/HZ_LOCATIONS/*.parquet
- config_name: HZ_ORGANIZATION_PROFILES
  data_files:
  - split: train
    path: data/HZ_ORGANIZATION_PROFILES/*.parquet
- config_name: HZ_PARTIES
  data_files:
  - split: train
    path: data/HZ_PARTIES/*.parquet
- config_name: HZ_PARTY_SITES
  data_files:
  - split: train
    path: data/HZ_PARTY_SITES/*.parquet
- config_name: IBY_DOCS_PAYABLE_ALL
  data_files:
  - split: train
    path: data/IBY_DOCS_PAYABLE_ALL/*.parquet
- config_name: IBY_EXTERNAL_PAYEES_ALL
  data_files:
  - split: train
    path: data/IBY_EXTERNAL_PAYEES_ALL/*.parquet
- config_name: IBY_EXT_BANK_ACCOUNTS
  data_files:
  - split: train
    path: data/IBY_EXT_BANK_ACCOUNTS/*.parquet
- config_name: IBY_PAYMENTS_ALL
  data_files:
  - split: train
    path: data/IBY_PAYMENTS_ALL/*.parquet
- config_name: IBY_PAY_INSTRUCTIONS_ALL
  data_files:
  - split: train
    path: data/IBY_PAY_INSTRUCTIONS_ALL/*.parquet
- config_name: IBY_PMT_INSTR_USES_ALL
  data_files:
  - split: train
    path: data/IBY_PMT_INSTR_USES_ALL/*.parquet
- config_name: MTL_CATEGORIES_B
  data_files:
  - split: train
    path: data/MTL_CATEGORIES_B/*.parquet
- config_name: MTL_CATEGORIES_TL
  data_files:
  - split: train
    path: data/MTL_CATEGORIES_TL/*.parquet
- config_name: MTL_CATEGORY_SETS_B
  data_files:
  - split: train
    path: data/MTL_CATEGORY_SETS_B/*.parquet
- config_name: MTL_CATEGORY_SETS_TL
  data_files:
  - split: train
    path: data/MTL_CATEGORY_SETS_TL/*.parquet
- config_name: MTL_ITEM_CATEGORIES
  data_files:
  - split: train
    path: data/MTL_ITEM_CATEGORIES/*.parquet
- config_name: MTL_PARAMETERS
  data_files:
  - split: train
    path: data/MTL_PARAMETERS/*.parquet
- config_name: MTL_SYSTEM_ITEMS_B
  data_files:
  - split: train
    path: data/MTL_SYSTEM_ITEMS_B/*.parquet
- config_name: MTL_SYSTEM_ITEMS_TL
  data_files:
  - split: train
    path: data/MTL_SYSTEM_ITEMS_TL/*.parquet
- config_name: MTL_UNITS_OF_MEASURE_TL
  data_files:
  - split: train
    path: data/MTL_UNITS_OF_MEASURE_TL/*.parquet
- config_name: OE_ORDER_HEADERS_ALL
  data_files:
  - split: train
    path: data/OE_ORDER_HEADERS_ALL/*.parquet
- config_name: OE_ORDER_LINES_ALL
  data_files:
  - split: train
    path: data/OE_ORDER_LINES_ALL/*.parquet
- config_name: OE_ORDER_SOURCES
  data_files:
  - split: train
    path: data/OE_ORDER_SOURCES/*.parquet
- config_name: OE_PRICE_ADJUSTMENTS
  data_files:
  - split: train
    path: data/OE_PRICE_ADJUSTMENTS/*.parquet
- config_name: OE_TRANSACTION_TYPES_ALL
  data_files:
  - split: train
    path: data/OE_TRANSACTION_TYPES_ALL/*.parquet
- config_name: OE_TRANSACTION_TYPES_TL
  data_files:
  - split: train
    path: data/OE_TRANSACTION_TYPES_TL/*.parquet
- config_name: OKC_K_HEADERS_ALL_B
  data_files:
  - split: train
    path: data/OKC_K_HEADERS_ALL_B/*.parquet
- config_name: OKC_K_HEADERS_TL
  data_files:
  - split: train
    path: data/OKC_K_HEADERS_TL/*.parquet
- config_name: OKC_K_ITEMS
  data_files:
  - split: train
    path: data/OKC_K_ITEMS/*.parquet
- config_name: OKC_K_LINES_B
  data_files:
  - split: train
    path: data/OKC_K_LINES_B/*.parquet
- config_name: OKC_K_LINES_TL
  data_files:
  - split: train
    path: data/OKC_K_LINES_TL/*.parquet
- config_name: OKC_K_PARTY_ROLES_B
  data_files:
  - split: train
    path: data/OKC_K_PARTY_ROLES_B/*.parquet
- config_name: OKC_K_PARTY_ROLES_TL
  data_files:
  - split: train
    path: data/OKC_K_PARTY_ROLES_TL/*.parquet
- config_name: OKC_STATUSES_B
  data_files:
  - split: train
    path: data/OKC_STATUSES_B/*.parquet
- config_name: OKC_STATUSES_TL
  data_files:
  - split: train
    path: data/OKC_STATUSES_TL/*.parquet
- config_name: OKS_BILL_CONT_LINES
  data_files:
  - split: train
    path: data/OKS_BILL_CONT_LINES/*.parquet
- config_name: OKS_BILL_TXN_LINES
  data_files:
  - split: train
    path: data/OKS_BILL_TXN_LINES/*.parquet
- config_name: OKS_K_LINES_B
  data_files:
  - split: train
    path: data/OKS_K_LINES_B/*.parquet
- config_name: OKS_K_LINES_TL
  data_files:
  - split: train
    path: data/OKS_K_LINES_TL/*.parquet
- config_name: OKS_LEVEL_ELEMENTS
  data_files:
  - split: train
    path: data/OKS_LEVEL_ELEMENTS/*.parquet
- config_name: OKS_STREAM_LEVELS_B
  data_files:
  - split: train
    path: data/OKS_STREAM_LEVELS_B/*.parquet
- config_name: QP_LIST_HEADERS_B
  data_files:
  - split: train
    path: data/QP_LIST_HEADERS_B/*.parquet
- config_name: QP_LIST_HEADERS_TL
  data_files:
  - split: train
    path: data/QP_LIST_HEADERS_TL/*.parquet
- config_name: QP_LIST_LINES
  data_files:
  - split: train
    path: data/QP_LIST_LINES/*.parquet
- config_name: QP_PRICING_ATTRIBUTES
  data_files:
  - split: train
    path: data/QP_PRICING_ATTRIBUTES/*.parquet
- config_name: QP_QUALIFIERS
  data_files:
  - split: train
    path: data/QP_QUALIFIERS/*.parquet
- config_name: RA_BATCH_SOURCES_ALL
  data_files:
  - split: train
    path: data/RA_BATCH_SOURCES_ALL/*.parquet
- config_name: RA_CUSTOMER_TRX_ALL
  data_files:
  - split: train
    path: data/RA_CUSTOMER_TRX_ALL/*.parquet
- config_name: RA_CUSTOMER_TRX_LINES_ALL
  data_files:
  - split: train
    path: data/RA_CUSTOMER_TRX_LINES_ALL/*.parquet
- config_name: RA_CUST_TRX_LINE_GL_DIST_ALL
  data_files:
  - split: train
    path: data/RA_CUST_TRX_LINE_GL_DIST_ALL/*.parquet
- config_name: RA_CUST_TRX_TYPES_ALL
  data_files:
  - split: train
    path: data/RA_CUST_TRX_TYPES_ALL/*.parquet
- config_name: RA_INTERFACE_LINES_ALL
  data_files:
  - split: train
    path: data/RA_INTERFACE_LINES_ALL/*.parquet
- config_name: RA_TERMS_B
  data_files:
  - split: train
    path: data/RA_TERMS_B/*.parquet
- config_name: RA_TERMS_LINES
  data_files:
  - split: train
    path: data/RA_TERMS_LINES/*.parquet
- config_name: RA_TERMS_TL
  data_files:
  - split: train
    path: data/RA_TERMS_TL/*.parquet
- config_name: XLA_AE_HEADERS
  data_files:
  - split: train
    path: data/XLA_AE_HEADERS/*.parquet
- config_name: XLA_AE_LINES
  data_files:
  - split: train
    path: data/XLA_AE_LINES/*.parquet
- config_name: XLA_DISTRIBUTION_LINKS
  data_files:
  - split: train
    path: data/XLA_DISTRIBUTION_LINKS/*.parquet
- config_name: XLA_EVENTS
  data_files:
  - split: train
    path: data/XLA_EVENTS/*.parquet
- config_name: XLA_EVENT_TYPES_B
  data_files:
  - split: train
    path: data/XLA_EVENT_TYPES_B/*.parquet
- config_name: XLA_EVENT_TYPES_TL
  data_files:
  - split: train
    path: data/XLA_EVENT_TYPES_TL/*.parquet
- config_name: XLA_TRANSACTION_ENTITIES
  data_files:
  - split: train
    path: data/XLA_TRANSACTION_ENTITIES/*.parquet
- config_name: XX_AUDIT_TRAIL
  data_files:
  - split: train
    path: data/XX_AUDIT_TRAIL/*.parquet
- config_name: XX_CAMPAIGN_AUTHORITY_EVENTS
  data_files:
  - split: train
    path: data/XX_CAMPAIGN_AUTHORITY_EVENTS/*.parquet
- config_name: XX_CAMPAIGN_BUDGET_CREDITS
  data_files:
  - split: train
    path: data/XX_CAMPAIGN_BUDGET_CREDITS/*.parquet
- config_name: XX_CARD_FINGERPRINTS
  data_files:
  - split: train
    path: data/XX_CARD_FINGERPRINTS/*.parquet
- config_name: XX_CARD_VERIFICATIONS
  data_files:
  - split: train
    path: data/XX_CARD_VERIFICATIONS/*.parquet
- config_name: XX_COURIER_ACCOUNT_EVENTS
  data_files:
  - split: train
    path: data/XX_COURIER_ACCOUNT_EVENTS/*.parquet
- config_name: XX_COURIER_APPLICATIONS
  data_files:
  - split: train
    path: data/XX_COURIER_APPLICATIONS/*.parquet
- config_name: XX_COURIER_APP_SESSIONS
  data_files:
  - split: train
    path: data/XX_COURIER_APP_SESSIONS/*.parquet
- config_name: XX_COURIER_DEVICES
  data_files:
  - split: train
    path: data/XX_COURIER_DEVICES/*.parquet
- config_name: XX_COURIER_EARNINGS
  data_files:
  - split: train
    path: data/XX_COURIER_EARNINGS/*.parquet
- config_name: XX_COURIER_IDENTITY_CHECKS
  data_files:
  - split: train
    path: data/XX_COURIER_IDENTITY_CHECKS/*.parquet
- config_name: XX_COURIER_VIOLATIONS
  data_files:
  - split: train
    path: data/XX_COURIER_VIOLATIONS/*.parquet
- config_name: XX_COURIER_WAITS
  data_files:
  - split: train
    path: data/XX_COURIER_WAITS/*.parquet
- config_name: XX_CUSTOMER_ACCOUNT_EVENTS
  data_files:
  - split: train
    path: data/XX_CUSTOMER_ACCOUNT_EVENTS/*.parquet
- config_name: XX_CUSTOMER_DEVICES
  data_files:
  - split: train
    path: data/XX_CUSTOMER_DEVICES/*.parquet
- config_name: XX_CUSTOMER_SESSIONS
  data_files:
  - split: train
    path: data/XX_CUSTOMER_SESSIONS/*.parquet
- config_name: XX_DELIVERY_ASSIGNMENTS
  data_files:
  - split: train
    path: data/XX_DELIVERY_ASSIGNMENTS/*.parquet
- config_name: XX_DELIVERY_ATTEMPTS
  data_files:
  - split: train
    path: data/XX_DELIVERY_ATTEMPTS/*.parquet
- config_name: XX_DELIVERY_LEGS
  data_files:
  - split: train
    path: data/XX_DELIVERY_LEGS/*.parquet
- config_name: XX_DEVICES
  data_files:
  - split: train
    path: data/XX_DEVICES/*.parquet
- config_name: XX_DISPATCH_ASSIGNMENTS
  data_files:
  - split: train
    path: data/XX_DISPATCH_ASSIGNMENTS/*.parquet
- config_name: XX_DISPUTES
  data_files:
  - split: train
    path: data/XX_DISPUTES/*.parquet
- config_name: XX_DRIVER_LOCATION_OBSERVATIONS
  data_files:
  - split: train
    path: data/XX_DRIVER_LOCATION_OBSERVATIONS/*.parquet
- config_name: XX_DRIVER_PROFILES
  data_files:
  - split: train
    path: data/XX_DRIVER_PROFILES/*.parquet
- config_name: XX_DRIVER_QUESTS
  data_files:
  - split: train
    path: data/XX_DRIVER_QUESTS/*.parquet
- config_name: XX_DRIVER_SHIFTS
  data_files:
  - split: train
    path: data/XX_DRIVER_SHIFTS/*.parquet
- config_name: XX_ENFORCEMENT_ACTIONS
  data_files:
  - split: train
    path: data/XX_ENFORCEMENT_ACTIONS/*.parquet
- config_name: XX_EXPERIMENT_ASSIGNMENTS
  data_files:
  - split: train
    path: data/XX_EXPERIMENT_ASSIGNMENTS/*.parquet
- config_name: XX_FRAUD_WARNINGS
  data_files:
  - split: train
    path: data/XX_FRAUD_WARNINGS/*.parquet
- config_name: XX_GL_INTERFACE_HIST
  data_files:
  - split: train
    path: data/XX_GL_INTERFACE_HIST/*.parquet
- config_name: XX_HOTSPOT_SNAPSHOTS
  data_files:
  - split: train
    path: data/XX_HOTSPOT_SNAPSHOTS/*.parquet
- config_name: XX_INCENTIVE_COMMITMENTS
  data_files:
  - split: train
    path: data/XX_INCENTIVE_COMMITMENTS/*.parquet
- config_name: XX_INGESTION_RUNS
  data_files:
  - split: train
    path: data/XX_INGESTION_RUNS/*.parquet
- config_name: XX_INTEGRATION_INCIDENTS
  data_files:
  - split: train
    path: data/XX_INTEGRATION_INCIDENTS/*.parquet
- config_name: XX_INTERFACE_ERRORS
  data_files:
  - split: train
    path: data/XX_INTERFACE_ERRORS/*.parquet
- config_name: XX_IP_ADDRESSES
  data_files:
  - split: train
    path: data/XX_IP_ADDRESSES/*.parquet
- config_name: XX_LOGIN_ATTEMPTS
  data_files:
  - split: train
    path: data/XX_LOGIN_ATTEMPTS/*.parquet
- config_name: XX_MARKETPLACE_ESTIMATES
  data_files:
  - split: train
    path: data/XX_MARKETPLACE_ESTIMATES/*.parquet
- config_name: XX_MEMBERSHIP_EVENTS
  data_files:
  - split: train
    path: data/XX_MEMBERSHIP_EVENTS/*.parquet
- config_name: XX_MEMBERSHIP_ORDER_BENEFITS
  data_files:
  - split: train
    path: data/XX_MEMBERSHIP_ORDER_BENEFITS/*.parquet
- config_name: XX_MERCHANT_CLOSURES
  data_files:
  - split: train
    path: data/XX_MERCHANT_CLOSURES/*.parquet
- config_name: XX_MERCHANT_HANDOFF_CONFIRMATIONS
  data_files:
  - split: train
    path: data/XX_MERCHANT_HANDOFF_CONFIRMATIONS/*.parquet
- config_name: XX_MERCHANT_HOLIDAY_HOURS
  data_files:
  - split: train
    path: data/XX_MERCHANT_HOLIDAY_HOURS/*.parquet
- config_name: XX_MERCHANT_HOURS
  data_files:
  - split: train
    path: data/XX_MERCHANT_HOURS/*.parquet
- config_name: XX_MERCHANT_INTEGRATIONS
  data_files:
  - split: train
    path: data/XX_MERCHANT_INTEGRATIONS/*.parquet
- config_name: XX_MERCHANT_OPS_ACTIONS
  data_files:
  - split: train
    path: data/XX_MERCHANT_OPS_ACTIONS/*.parquet
- config_name: XX_MERCHANT_RATING_SNAPSHOTS
  data_files:
  - split: train
    path: data/XX_MERCHANT_RATING_SNAPSHOTS/*.parquet
- config_name: XX_MERCHANT_READY_REPORTS
  data_files:
  - split: train
    path: data/XX_MERCHANT_READY_REPORTS/*.parquet
- config_name: XX_MERCHANT_REGULATORY_EVENTS
  data_files:
  - split: train
    path: data/XX_MERCHANT_REGULATORY_EVENTS/*.parquet
- config_name: XX_ORDER_PREP_QUOTES
  data_files:
  - split: train
    path: data/XX_ORDER_PREP_QUOTES/*.parquet
- config_name: XX_ORDER_PROMISES
  data_files:
  - split: train
    path: data/XX_ORDER_PROMISES/*.parquet
- config_name: XX_ORDER_REJECTIONS
  data_files:
  - split: train
    path: data/XX_ORDER_REJECTIONS/*.parquet
- config_name: XX_ORDER_STATUS_HIST
  data_files:
  - split: train
    path: data/XX_ORDER_STATUS_HIST/*.parquet
- config_name: XX_PAYMENT_AUTHS
  data_files:
  - split: train
    path: data/XX_PAYMENT_AUTHS/*.parquet
- config_name: XX_PAYMENT_INSTRUMENTS
  data_files:
  - split: train
    path: data/XX_PAYMENT_INSTRUMENTS/*.parquet
- config_name: XX_PAYOUT_PERIODS
  data_files:
  - split: train
    path: data/XX_PAYOUT_PERIODS/*.parquet
- config_name: XX_PAY_PERIOD_INCENTIVES
  data_files:
  - split: train
    path: data/XX_PAY_PERIOD_INCENTIVES/*.parquet
- config_name: XX_PREP_ESTIMATE_LOG
  data_files:
  - split: train
    path: data/XX_PREP_ESTIMATE_LOG/*.parquet
- config_name: XX_PROMOTION_ALLOCATIONS
  data_files:
  - split: train
    path: data/XX_PROMOTION_ALLOCATIONS/*.parquet
- config_name: XX_PROMOTION_CHECKOUTS
  data_files:
  - split: train
    path: data/XX_PROMOTION_CHECKOUTS/*.parquet
- config_name: XX_PROMOTION_CONTACTS
  data_files:
  - split: train
    path: data/XX_PROMOTION_CONTACTS/*.parquet
- config_name: XX_PROMOTION_DECISIONS
  data_files:
  - split: train
    path: data/XX_PROMOTION_DECISIONS/*.parquet
- config_name: XX_PROMOTION_SUBMISSIONS
  data_files:
  - split: train
    path: data/XX_PROMOTION_SUBMISSIONS/*.parquet
- config_name: XX_PROMOTION_VARIANTS
  data_files:
  - split: train
    path: data/XX_PROMOTION_VARIANTS/*.parquet
- config_name: XX_PROMO_ATTEMPTS
  data_files:
  - split: train
    path: data/XX_PROMO_ATTEMPTS/*.parquet
- config_name: XX_PROMO_CODES
  data_files:
  - split: train
    path: data/XX_PROMO_CODES/*.parquet
- config_name: XX_QUEST_INVITATIONS
  data_files:
  - split: train
    path: data/XX_QUEST_INVITATIONS/*.parquet
- config_name: XX_QUEST_PROGRESS
  data_files:
  - split: train
    path: data/XX_QUEST_PROGRESS/*.parquet
- config_name: XX_QUEST_WINDOWS
  data_files:
  - split: train
    path: data/XX_QUEST_WINDOWS/*.parquet
- config_name: XX_REFERRALS
  data_files:
  - split: train
    path: data/XX_REFERRALS/*.parquet
- config_name: XX_REFUNDS
  data_files:
  - split: train
    path: data/XX_REFUNDS/*.parquet
- config_name: XX_REVIEWS
  data_files:
  - split: train
    path: data/XX_REVIEWS/*.parquet
- config_name: XX_SUPPLY_FORECASTS
  data_files:
  - split: train
    path: data/XX_SUPPLY_FORECASTS/*.parquet
- config_name: XX_SUPPLY_SNAPSHOTS
  data_files:
  - split: train
    path: data/XX_SUPPLY_SNAPSHOTS/*.parquet
- config_name: XX_SUPPORT_CASES
  data_files:
  - split: train
    path: data/XX_SUPPORT_CASES/*.parquet
- config_name: XX_TIP_ADJUSTMENTS
  data_files:
  - split: train
    path: data/XX_TIP_ADJUSTMENTS/*.parquet
- config_name: ZX_LINES
  data_files:
  - split: train
    path: data/ZX_LINES/*.parquet
- config_name: ZX_LINES_DET_FACTORS
  data_files:
  - split: train
    path: data/ZX_LINES_DET_FACTORS/*.parquet
- config_name: ZX_RATES_B
  data_files:
  - split: train
    path: data/ZX_RATES_B/*.parquet
- config_name: ZX_RATES_TL
  data_files:
  - split: train
    path: data/ZX_RATES_TL/*.parquet
- config_name: ZX_REGIMES_B
  data_files:
  - split: train
    path: data/ZX_REGIMES_B/*.parquet
- config_name: ZX_REGIMES_TL
  data_files:
  - split: train
    path: data/ZX_REGIMES_TL/*.parquet
- config_name: ZX_TAXES_B
  data_files:
  - split: train
    path: data/ZX_TAXES_B/*.parquet
- config_name: ZX_TAXES_TL
  data_files:
  - split: train
    path: data/ZX_TAXES_TL/*.parquet
---

![Decision-Bench City](assets/decision-bench-city.jpg)

# Decision-Bench

One simulated year of a New York City food-delivery company, exported to an Oracle E-Business
Suite 12.2 warehouse of 235 tables and 7.54 billion rows.

**[Leaderboard & Demo](https://textql.com/decision-bench)** · **[How it works](https://textql.com/blog/decision-bench)** ·
**[Paper](https://arxiv.org/abs/2610.02122)** · **[Code](https://github.com/TextQLLabs/Decision-Bench)**

## An enterprise ERP you can download

The data that enterprise analytics runs on is rarely public. Large companies keep their orders,
payouts, ledgers and customer records in ERP systems such as Oracle E-Business Suite and SAP,
extended with custom tables of their own, and access to them is tightly restricted. Benchmarks
therefore run on public datasets, which tend to be collections of loosely related tables rather
than one system whose modules have to agree, and their answer keys are only as good as the
people who wrote them. On real data, fraud that was never caught has no label, and a decision
that was never taken has no outcome.

Decision-Bench simulates the business instead. The warehouse can be released whole because no one
in it is real, and every answer key comes from the simulator's own state rather than from an
annotator.

## What's in the warehouse

- **A calibrated company.** 81 million orders from 17,902 real New York restaurants, delivered by
  81,116 couriers over calendar 2024. The world is built from 34 public datasets and reports, and
  calibrated to the delivery-app economics New York City publishes each quarter and to the
  platforms' public filings. It absorbs a real shock: the city raised the minimum pay for
  delivery workers to $19.56 an hour on April 1, 2024.
- **One system.** 159 standard EBS tables across GL, AR, AP, OM, XLA,
  HZ, OKC/OKS, ZX and more, where every standard table and column exists in Oracle's EBS 12.2
  data dictionary, and 76 custom `XX_` tables for dispatch, courier pay, incentives, promotions,
  sessions and support. An order resolves into dispatch decisions, courier pay, merchant payouts
  and balanced general-ledger journals, and the modules reconcile. The schema was designed with
  three ERP consultants.
- **Fraud and abuse where public evidence says it happens.** Couriers who steal orders or spoof
  their GPS, promotion-farming rings, account takeovers, shell storefronts and diverted payouts.
  Each pattern is calibrated to how often honest customers share a device, an address or a card,
  which is what makes them hard to tell apart.
- **As-of views.** Eleven month schemas cut every table to what existed at the end of each month,
  so a task can be posed as of any month-end and graded on the months after it.

## Running the benchmark

The 210 tasks cover trust and safety, marketplace operations, FP&A, accounting and growth. Agents
query the warehouse, analyze it in a sandboxed Python environment, and file bans, forecasts,
budgets, reported figures and dashboard data sources. The grader scores each filing against the
simulation's hidden state. In the paper, the strongest of 12 models, Claude Opus 5.5, averages
59.5 points and scores 95 or more on 34.8% of tasks.

The tasks, the reference agent and its sandboxes are at
[github.com/TextQLLabs/Decision-Bench](https://github.com/TextQLLabs/Decision-Bench), which also explains
how to export a run for official scoring.

Decision-Bench is built by [TextQL](https://textql.com).

## Layout

```
data/<TABLE>/*.parquet        the rows (monthly parts 2024-MM.parquet, or part-0.parquet)
data/<TABLE>/_delta_log/      a Delta Lake log over the same files (relative paths)
tables.json                   every table: rows, files, columns with types, partition column
setup/                        loaders and month views per engine (below)
```

Every column has one of six types, the same in every engine:

| `tables.json` type | Parquet | BigQuery | Snowflake | Spark / Delta | Trino | Iceberg |
|---|---|---|---|---|---|---|
| `INT64` | int64 | INT64 | NUMBER(19,0) | BIGINT | bigint | long |
| `FLOAT64` | double | FLOAT64 | FLOAT | DOUBLE | double | double |
| `STRING` | string | STRING | VARCHAR | STRING | varchar | string |
| `DATETIME` | timestamp[us], no zone | DATETIME | TIMESTAMP_NTZ(6) | TIMESTAMP_NTZ | timestamp(6) | timestamp |
| `DATE` | date32 | DATE | DATE | DATE | date | date |
| `BOOLEAN` | bool | BOOL | BOOLEAN | BOOLEAN | boolean | boolean |

Timestamps are wall-clock times with no zone. Table and column names are upper case.
Keep them that way: queries and the month views quote them.

## Get the files

```bash
pip install -U "huggingface_hub[hf_xet]"
hf download textql/Decision-Bench --repo-type dataset --local-dir decision-bench
# or a few tables:
hf download textql/Decision-Bench --repo-type dataset --local-dir decision-bench \
    --include "data/GL_PERIODS/*" --include "tables.json" --include "setup/*"
```

The SQL files under `setup/` refer to the `data/` directory of your copy as `__DATA_ROOT__`.
Fill it in once for the engine you use, for example:

```bash
sed -i.bak 's#__DATA_ROOT__#s3://my-bucket/decision-bench/data#g' setup/spark/register_delta.sql
```

Every engine below reads the same Parquet files. Loading into BigQuery or Snowflake
copies them into that warehouse. Delta Lake, Iceberg, Trino and DuckDB read them in
place.

## DuckDB (no download needed)

```bash
sed 's#__DATA_ROOT__#hf://datasets/textql/Decision-Bench/data#g' setup/duckdb/views.sql > views.sql
duckdb decision.duckdb -c ".read views.sql" -c ".read setup/duckdb/month_views.sql"
duckdb decision.duckdb -c 'SELECT COUNT(*) FROM food_delivery."XX_DISPUTES"'
```

Over `hf://` the base views take about 2 minutes and the month views about 7 (DuckDB
reads Parquet footers over HTTP as it binds each view). Only the rows a query touches are
fetched. Point `__DATA_ROOT__` at a local `data/` directory to make both near-instant.
DuckDB can also read the Delta tables: `SELECT * FROM delta_scan('decision-bench/data/GL_PERIODS')`.

## BigQuery

BigQuery loads from Google Cloud Storage, so copy `data/` into a bucket first. Use a
bucket in (or inside) your dataset's location. Load jobs are free. The loaded
dataset holds about 880 GiB of logical storage.

```bash
gcloud storage cp -r decision-bench/data gs://my-bucket/decision-bench/
RELEASE_URI=gs://my-bucket/decision-bench BQ_PROJECT=my-project BQ_DATASET=food_delivery \
    bash setup/bigquery/load.sh
BQ_PROJECT=my-project BQ_DATASET=food_delivery bash setup/bigquery/month_views.sh
```

`load.sh` creates each table with its final types and loads it with one Parquet load
job. 94 tables are MONTH-partitioned on the column the month views cut on, so
a month view scans only its months. `JOBS=N` loads N tables at a time (default 8), `ONLY=A,B` just those tables, and
`BQ_LOCATION` defaults to `US`. With `AUTHORIZE=1`, `month_views.sh` also makes each month dataset
an authorized dataset on the base, so a reader granted only `food_delivery_6` cannot
read past June (needs `jq`).

## Snowflake

Create a stage named `"food_delivery"."DECISION_BENCH"` whose root holds `data/`, then run
`load.sql` and `month_views.sql` in a database of your choice.

- **Your copy in S3, GCS or Azure** (external stage):

  ```sql
  USE DATABASE my_db;
  CREATE SCHEMA IF NOT EXISTS "food_delivery";
  CREATE STAGE "food_delivery"."DECISION_BENCH"
    URL = 's3://my-bucket/decision-bench/' STORAGE_INTEGRATION = my_integration;
  ```
- **A local download** (internal stage): fill in `__LOCAL_ROOT__` in `setup/snowflake/put.sql`,
  then `snowsql -d my_db -f setup/snowflake/put.sql`.

```bash
snowsql -d my_db -f setup/snowflake/load.sql
snowsql -d my_db -f setup/snowflake/month_views.sql
```

(`snow sql -f ...` with the Snowflake CLI works too.) `load.sql` creates each table with its final types, then runs one
`COPY INTO ... MATCH_BY_COLUMN_NAME = CASE_SENSITIVE` per table. The schema name is the
quoted, lower-case `"food_delivery"`.

## Delta Lake (Databricks, Spark, delta-rs)

Each `data/<TABLE>/` is already a Delta table. Its log names the files by relative
path, so it works wherever the directory is copied: local disk, S3, GCS, ADLS, or a
Databricks volume. Register the tables and add the month views:

```bash
sed -i.bak 's#__DATA_ROOT__#s3://my-bucket/decision-bench/data#g' setup/spark/register_delta.sql
# Databricks: run both files in a SQL editor or notebook, in the catalog you want.
spark-sql --packages io.delta:delta-spark_2.13:4.0.0 \
  --conf spark.sql.extensions=io.delta.sql.DeltaSparkSessionExtension \
  --conf spark.sql.catalog.spark_catalog=org.apache.spark.sql.delta.catalog.DeltaCatalog \
  -f setup/spark/register_delta.sql      # then the same with -f setup/spark/month_views.sql
```

Delta tables with timestamps use the `timestampNtz` table feature (reader version 3),
which Databricks Runtime 13.3+, Delta 3+, delta-rs and DuckDB support. From Python,
without Spark: `deltalake.DeltaTable("decision-bench/data/XX_DISPUTES").to_pyarrow_table()`.

## Iceberg

Iceberg metadata names files by absolute path, so it is written for your copy
where it lives. `setup/iceberg/register.py` creates each table from its Parquet
schema and adds the existing files (`pyiceberg` `add_files`: manifests, statistics
and a name mapping are written, and no data is copied):

```bash
pip install "pyiceberg[pyarrow,sql-sqlite]"
# local copy, local SQLite catalog in ./iceberg/
python setup/iceberg/register.py --root decision-bench
# a copy in object storage, into your catalog (REST, Glue, Hive, SQL, ...)
python setup/iceberg/register.py --root s3://my-bucket/decision-bench \
    --catalog prod -P type=rest -P uri=https://catalog.example.com -P warehouse=wh
```

Then query `food_delivery.<TABLE>` from any engine attached to that catalog (Spark,
Trino, Snowflake, DuckDB, PyIceberg). `setup/spark/month_views.sql` and
`setup/trino/month_views.sql` create the month views in that catalog as well.

## Trino

Trino reads the Delta tables in place through its Delta Lake connector:

1. Copy `setup/trino/delta.properties` to `etc/catalog/delta.properties`. Set
   `local.location` to your download, or switch to the S3/GCS lines. Restart Trino.
2. Register the tables, then add the month views:

```bash
sed -i.bak 's#__DATA_ROOT__#local:///data#g' setup/trino/register_delta.sql
trino --catalog delta -f setup/trino/register_delta.sql
trino --catalog delta -f setup/trino/month_views.sql
trino --catalog delta --schema food_delivery --execute 'SELECT COUNT(*) FROM xx_disputes'
```

For an Iceberg catalog instead, register with `setup/iceberg/register.py` into a catalog
Trino's Iceberg connector also uses (REST, Glue, Hive metastore, JDBC). Then run
`month_views.sql` with `--catalog` set to it.

## Month views (as-of datasets)

Tasks are posed as of the end of a month. The full-year tables are the base
(`food_delivery`). Eleven sibling schemas hold views that cut every table to what
existed at the end of each month:

| schema | rows kept |
|---|---|
| `food_delivery_1` | before 2024-02-01 |
| `food_delivery_2` | before 2024-03-01 |
| `food_delivery_3` | before 2024-04-01 |
| `food_delivery_4` | before 2024-05-01 |
| `food_delivery_5` | before 2024-06-01 |
| `food_delivery_6` | before 2024-07-01 |
| `food_delivery_7` | before 2024-08-01 |
| `food_delivery_8` | before 2024-09-01 |
| `food_delivery_9` | before 2024-10-01 |
| `food_delivery_10` | before 2024-11-01 |
| `food_delivery_11` | before 2024-12-01 |
| `food_delivery` | the whole year |

A view keeps a row when its creation instant (for most tables `CREATION_DATE`, for some
a table-specific column) falls before the cutoff. Reference tables pass through whole,
a few tables are period-keyed, and a few are left out of the month schemas. Each
engine's `month_views` file carries every table's exact rule. In BigQuery (with
`AUTHORIZE=1`), Snowflake, Databricks Unity Catalog and Trino a view reads the base with
its owner's privileges, so a role granted only one month schema can read that month and
not the full year.

## Tables

| prefix | tables | rows |
|---|---|---|
| `XX_` | 76 | 2,632,600,570 |
| `XLA_` | 7 | 1,323,813,636 |
| `GL_` | 14 | 906,523,987 |
| `RA_` | 9 | 869,947,258 |
| `AR_` | 13 | 766,451,904 |
| `OE_` | 6 | 581,051,178 |
| `ZX_` | 8 | 158,424,118 |
| `HZ_` | 12 | 97,461,203 |
| `CE_` | 10 | 95,989,462 |
| `AP_` | 12 | 48,567,646 |
| `OKS_` | 6 | 25,621,703 |
| `OKC_` | 9 | 17,185,555 |
| `IBY_` | 6 | 11,182,364 |
| `MTL_` | 9 | 3,130,951 |
| `QP_` | 5 | 136,026 |
| `HR_` | 4 | 53,710 |
| `FND_` | 29 | 17,416 |

<details><summary>All 235 tables</summary>

| table | rows | columns | files | size |
|---|---|---|---|---|
| `AP_CHECKS_ALL` | 5,239,635 | 22 | 1 | 75.1 MiB |
| `AP_HOLDS_ALL` | 31,634 | 14 | 1 | 528.8 KiB |
| `AP_HOLD_CODES` | 13 | 11 | 1 | 3.8 KiB |
| `AP_INVOICES_ALL` | 6,051,283 | 36 | 1 | 106.9 MiB |
| `AP_INVOICE_DISTRIBUTIONS_ALL` | 7,881,526 | 19 | 1 | 33.0 MiB |
| `AP_INVOICE_LINES_ALL` | 17,470,894 | 17 | 1 | 120.5 MiB |
| `AP_INVOICE_PAYMENTS_ALL` | 5,643,336 | 15 | 1 | 69.1 MiB |
| `AP_PAYMENT_SCHEDULES_ALL` | 6,051,283 | 13 | 1 | 54.6 MiB |
| `AP_SUPPLIERS` | 99,018 | 33 | 1 | 2.0 MiB |
| `AP_SUPPLIER_SITES_ALL` | 99,018 | 19 | 1 | 1.1 MiB |
| `AP_TERMS_LINES` | 3 | 9 | 1 | 3.1 KiB |
| `AP_TERMS_TL` | 3 | 11 | 1 | 3.5 KiB |
| `AR_ADJUSTMENTS_ALL` | 0 | 25 | 12 | 31.9 KiB |
| `AR_AGING_BUCKETS` | 1 | 9 | 1 | 2.9 KiB |
| `AR_AGING_BUCKET_LINES_B` | 5 | 11 | 1 | 3.8 KiB |
| `AR_AGING_BUCKET_LINES_TL` | 5 | 9 | 1 | 3.0 KiB |
| `AR_BATCHES_ALL` | 478 | 22 | 12 | 105.4 KiB |
| `AR_CASH_RECEIPTS_ALL` | 85,702,095 | 39 | 12 | 741.6 MiB |
| `AR_CASH_RECEIPT_HISTORY_ALL` | 257,303,576 | 25 | 12 | 1.8 GiB |
| `AR_DISTRIBUTIONS_ALL` | 158,503,648 | 12 | 12 | 828.8 MiB |
| `AR_PAYMENT_SCHEDULES_ALL` | 174,181,429 | 29 | 24 | 2.3 GiB |
| `AR_RECEIPT_CLASSES` | 1 | 12 | 1 | 3.8 KiB |
| `AR_RECEIPT_METHODS` | 2 | 9 | 1 | 3.2 KiB |
| `AR_RECEIVABLES_TRX_ALL` | 2 | 12 | 1 | 4.0 KiB |
| `AR_RECEIVABLE_APPLICATIONS_ALL` | 90,760,662 | 27 | 12 | 1.1 GiB |
| `CE_BANK_ACCOUNTS` | 1 | 34 | 1 | 10.6 KiB |
| `CE_BANK_ACCT_USES_ALL` | 1 | 21 | 1 | 6.2 KiB |
| `CE_GL_ACCOUNTS_CCID` | 1 | 13 | 1 | 4.2 KiB |
| `CE_STATEMENT_HEADERS` | 251 | 20 | 1 | 19.1 KiB |
| `CE_STATEMENT_HEADERS_INT` | 0 | 13 | 1 | 1.6 KiB |
| `CE_STATEMENT_LINES` | 5,395,730 | 19 | 12 | 41.3 MiB |
| `CE_STATEMENT_LINES_INTERFACE` | 0 | 14 | 1 | 1.6 KiB |
| `CE_STATEMENT_RECONCILS_ALL` | 90,593,471 | 18 | 12 | 356.9 MiB |
| `CE_SYSTEM_PARAMETERS` | 1 | 16 | 1 | 5.1 KiB |
| `CE_TRANSACTION_CODES` | 6 | 16 | 1 | 5.1 KiB |
| `FND_APPLICATION` | 12 | 9 | 1 | 3.3 KiB |
| `FND_APPLICATION_TL` | 12 | 9 | 1 | 3.2 KiB |
| `FND_CONCURRENT_PROGRAMS` | 7 | 10 | 1 | 3.5 KiB |
| `FND_CONCURRENT_PROGRAMS_TL` | 7 | 11 | 1 | 4.1 KiB |
| `FND_CONCURRENT_REQUESTS` | 15,764 | 13 | 1 | 265.3 KiB |
| `FND_CURRENCIES` | 68 | 11 | 1 | 4.4 KiB |
| `FND_CURRENCIES_TL` | 68 | 9 | 1 | 3.8 KiB |
| `FND_FLEX_HIERARCHIES` | 2 | 8 | 1 | 2.8 KiB |
| `FND_FLEX_HIERARCHIES_TL` | 2 | 11 | 1 | 4.1 KiB |
| `FND_FLEX_VALIDATION_QUALIFIERS` | 5 | 6 | 1 | 2.3 KiB |
| `FND_FLEX_VALUES` | 351 | 18 | 1 | 10.9 KiB |
| `FND_FLEX_VALUES_TL` | 351 | 10 | 1 | 10.3 KiB |
| `FND_FLEX_VALUE_HIERARCHIES` | 33 | 11 | 1 | 3.7 KiB |
| `FND_FLEX_VALUE_NORM_HIERARCHY` | 26 | 12 | 1 | 4.5 KiB |
| `FND_FLEX_VALUE_SETS` | 7 | 11 | 1 | 3.9 KiB |
| `FND_ID_FLEXS` | 1 | 14 | 1 | 4.7 KiB |
| `FND_ID_FLEX_SEGMENTS` | 7 | 17 | 1 | 5.5 KiB |
| `FND_ID_FLEX_SEGMENTS_TL` | 7 | 13 | 1 | 4.3 KiB |
| `FND_ID_FLEX_STRUCTURES` | 1 | 14 | 1 | 4.6 KiB |
| `FND_ID_FLEX_STRUCTURES_TL` | 1 | 12 | 1 | 4.1 KiB |
| `FND_LANGUAGES` | 29 | 10 | 1 | 3.9 KiB |
| `FND_LOOKUP_TYPES` | 74 | 10 | 1 | 5.2 KiB |
| `FND_LOOKUP_TYPES_TL` | 74 | 12 | 1 | 7.1 KiB |
| `FND_LOOKUP_VALUES` | 292 | 13 | 1 | 8.4 KiB |
| `FND_RESPONSIBILITY` | 8 | 12 | 1 | 4.3 KiB |
| `FND_RESPONSIBILITY_TL` | 8 | 10 | 1 | 3.5 KiB |
| `FND_TERRITORIES` | 78 | 7 | 1 | 2.6 KiB |
| `FND_TERRITORIES_TL` | 78 | 9 | 1 | 3.8 KiB |
| `FND_USER` | 43 | 10 | 1 | 4.7 KiB |
| `GL_ACCOUNT_HIERARCHIES` | 49,294 | 7 | 1 | 346.3 KiB |
| `GL_BALANCES` | 204,547 | 22 | 1 | 3.2 MiB |
| `GL_CODE_COMBINATIONS` | 10,666 | 19 | 1 | 74.6 KiB |
| `GL_IMPORT_REFERENCES` | 904,430,409 | 17 | 36 | 5.9 GiB |
| `GL_INTERFACE` | 0 | 17 | 1 | 1.8 KiB |
| `GL_JE_BATCHES` | 3,047 | 15 | 36 | 213.3 KiB |
| `GL_JE_CATEGORIES_TL` | 9 | 10 | 1 | 3.4 KiB |
| `GL_JE_HEADERS` | 4,354 | 19 | 36 | 274.3 KiB |
| `GL_JE_LINES` | 1,821,518 | 17 | 36 | 17.1 MiB |
| `GL_JE_SOURCES_TL` | 9 | 15 | 1 | 4.9 KiB |
| `GL_LEDGERS` | 1 | 45 | 1 | 13.8 KiB |
| `GL_PERIODS` | 26 | 17 | 1 | 6.3 KiB |
| `GL_PERIOD_STATUSES` | 104 | 20 | 1 | 9.2 KiB |
| `GL_SUMMARY_TEMPLATES` | 3 | 21 | 1 | 7.0 KiB |
| `HR_ALL_ORGANIZATION_UNITS` | 17,905 | 16 | 1 | 350.5 KiB |
| `HR_LOCATIONS_ALL` | 17,902 | 17 | 1 | 464.6 KiB |
| `HR_OPERATING_UNITS` | 1 | 6 | 1 | 2.0 KiB |
| `HR_ORGANIZATION_INFORMATION` | 17,902 | 14 | 1 | 317.4 KiB |
| `HZ_CODE_ASSIGNMENTS` | 28 | 18 | 1 | 6.1 KiB |
| `HZ_CONTACT_POINTS` | 8,452,790 | 18 | 1 | 152.8 MiB |
| `HZ_CUSTOMER_PROFILES` | 4,208,326 | 22 | 1 | 37.0 MiB |
| `HZ_CUST_ACCOUNTS` | 4,208,326 | 14 | 1 | 40.4 MiB |
| `HZ_CUST_ACCOUNT_ROLES` | 0 | 15 | 1 | 1.7 KiB |
| `HZ_CUST_ACCT_SITES_ALL` | 18,487,230 | 17 | 1 | 273.8 MiB |
| `HZ_CUST_PROFILE_CLASSES` | 1 | 21 | 1 | 6.1 KiB |
| `HZ_CUST_SITE_USES_ALL` | 22,695,556 | 17 | 1 | 323.1 MiB |
| `HZ_LOCATIONS` | 16,578,510 | 34 | 1 | 351.1 MiB |
| `HZ_ORGANIZATION_PROFILES` | 17,931 | 17 | 1 | 398.1 KiB |
| `HZ_PARTIES` | 4,307,373 | 31 | 1 | 121.2 MiB |
| `HZ_PARTY_SITES` | 18,505,132 | 15 | 1 | 265.0 MiB |
| `IBY_DOCS_PAYABLE_ALL` | 5,643,336 | 31 | 1 | 128.0 MiB |
| `IBY_EXTERNAL_PAYEES_ALL` | 99,018 | 12 | 1 | 1.2 MiB |
| `IBY_EXT_BANK_ACCOUNTS` | 98,404 | 18 | 1 | 1.3 MiB |
| `IBY_PAYMENTS_ALL` | 5,239,635 | 34 | 1 | 86.7 MiB |
| `IBY_PAY_INSTRUCTIONS_ALL` | 1,071 | 23 | 1 | 28.2 KiB |
| `IBY_PMT_INSTR_USES_ALL` | 100,900 | 14 | 1 | 1.3 MiB |
| `MTL_CATEGORIES_B` | 70 | 10 | 1 | 4.0 KiB |
| `MTL_CATEGORIES_TL` | 70 | 9 | 1 | 3.7 KiB |
| `MTL_CATEGORY_SETS_B` | 1 | 11 | 1 | 3.7 KiB |
| `MTL_CATEGORY_SETS_TL` | 1 | 9 | 1 | 3.0 KiB |
| `MTL_ITEM_CATEGORIES` | 1,037,635 | 13 | 1 | 1.2 MiB |
| `MTL_PARAMETERS` | 17,903 | 12 | 1 | 157.7 KiB |
| `MTL_SYSTEM_ITEMS_B` | 1,037,635 | 32 | 1 | 4.5 MiB |
| `MTL_SYSTEM_ITEMS_TL` | 1,037,635 | 10 | 1 | 4.1 MiB |
| `MTL_UNITS_OF_MEASURE_TL` | 1 | 17 | 1 | 4.8 KiB |
| `OE_ORDER_HEADERS_ALL` | 80,908,384 | 41 | 12 | 2.9 GiB |
| `OE_ORDER_LINES_ALL` | 446,720,613 | 24 | 12 | 4.4 GiB |
| `OE_ORDER_SOURCES` | 40 | 12 | 1 | 5.7 KiB |
| `OE_PRICE_ADJUSTMENTS` | 53,422,133 | 35 | 12 | 614.3 MiB |
| `OE_TRANSACTION_TYPES_ALL` | 4 | 13 | 1 | 4.2 KiB |
| `OE_TRANSACTION_TYPES_TL` | 4 | 13 | 1 | 4.3 KiB |
| `OKC_K_HEADERS_ALL_B` | 1,611,303 | 53 | 1 | 31.9 MiB |
| `OKC_K_HEADERS_TL` | 1,611,303 | 11 | 1 | 16.5 MiB |
| `OKC_K_ITEMS` | 2,505,907 | 21 | 1 | 40.7 MiB |
| `OKC_K_LINES_B` | 2,505,907 | 49 | 1 | 64.5 MiB |
| `OKC_K_LINES_TL` | 2,505,907 | 11 | 1 | 26.5 MiB |
| `OKC_K_PARTY_ROLES_B` | 3,222,606 | 17 | 1 | 72.6 MiB |
| `OKC_K_PARTY_ROLES_TL` | 3,222,606 | 9 | 1 | 31.0 MiB |
| `OKC_STATUSES_B` | 8 | 11 | 1 | 3.6 KiB |
| `OKC_STATUSES_TL` | 8 | 11 | 1 | 3.4 KiB |
| `OKS_BILL_CONT_LINES` | 5,907,180 | 33 | 12 | 31.5 MiB |
| `OKS_BILL_TXN_LINES` | 5,907,180 | 18 | 12 | 27.1 MiB |
| `OKS_K_LINES_B` | 2,505,907 | 29 | 1 | 47.7 MiB |
| `OKS_K_LINES_TL` | 2,505,907 | 10 | 1 | 26.5 MiB |
| `OKS_LEVEL_ELEMENTS` | 6,289,622 | 19 | 1 | 65.1 MiB |
| `OKS_STREAM_LEVELS_B` | 2,505,907 | 24 | 1 | 45.1 MiB |
| `QP_LIST_HEADERS_B` | 33,855 | 29 | 1 | 510.8 KiB |
| `QP_LIST_HEADERS_TL` | 33,855 | 9 | 1 | 484.3 KiB |
| `QP_LIST_LINES` | 34,103 | 33 | 1 | 512.3 KiB |
| `QP_PRICING_ATTRIBUTES` | 34,211 | 23 | 1 | 458.0 KiB |
| `QP_QUALIFIERS` | 2 | 24 | 1 | 7.2 KiB |
| `RA_BATCH_SOURCES_ALL` | 3 | 10 | 1 | 3.6 KiB |
| `RA_CUSTOMER_TRX_ALL` | 88,806,376 | 26 | 12 | 1.2 GiB |
| `RA_CUSTOMER_TRX_LINES_ALL` | 535,185,608 | 20 | 12 | 5.0 GiB |
| `RA_CUST_TRX_LINE_GL_DIST_ALL` | 245,955,258 | 20 | 12 | 1.8 GiB |
| `RA_CUST_TRX_TYPES_ALL` | 4 | 20 | 1 | 6.1 KiB |
| `RA_INTERFACE_LINES_ALL` | 0 | 18 | 1 | 2.1 KiB |
| `RA_TERMS_B` | 3 | 12 | 1 | 3.9 KiB |
| `RA_TERMS_LINES` | 3 | 9 | 1 | 3.2 KiB |
| `RA_TERMS_TL` | 3 | 10 | 1 | 3.3 KiB |
| `XLA_AE_HEADERS` | 166,682,629 | 22 | 13 | 651.2 MiB |
| `XLA_AE_LINES` | 412,340,432 | 25 | 13 | 4.8 GiB |
| `XLA_DISTRIBUTION_LINKS` | 412,340,432 | 7 | 13 | 1.9 GiB |
| `XLA_EVENTS` | 166,682,629 | 18 | 13 | 474.9 MiB |
| `XLA_EVENT_TYPES_B` | 5 | 12 | 1 | 3.9 KiB |
| `XLA_EVENT_TYPES_TL` | 5 | 13 | 1 | 4.4 KiB |
| `XLA_TRANSACTION_ENTITIES` | 165,767,504 | 12 | 13 | 395.8 MiB |
| `XX_AUDIT_TRAIL` | 282,177 | 21 | 1 | 6.7 MiB |
| `XX_CAMPAIGN_AUTHORITY_EVENTS` | 85,454 | 15 | 1 | 1.5 MiB |
| `XX_CAMPAIGN_BUDGET_CREDITS` | 34,277 | 20 | 12 | 1.1 MiB |
| `XX_CARD_FINGERPRINTS` | 7,377,322 | 12 | 1 | 206.1 MiB |
| `XX_CARD_VERIFICATIONS` | 2,671,548 | 21 | 1 | 61.7 MiB |
| `XX_COURIER_ACCOUNT_EVENTS` | 9,802 | 8 | 12 | 158.5 KiB |
| `XX_COURIER_APPLICATIONS` | 40,167 | 8 | 12 | 695.3 KiB |
| `XX_COURIER_APP_SESSIONS` | 6,075,323 | 9 | 12 | 75.8 MiB |
| `XX_COURIER_DEVICES` | 115,306 | 6 | 12 | 951.5 KiB |
| `XX_COURIER_EARNINGS` | 69,510,237 | 15 | 12 | 1.1 GiB |
| `XX_COURIER_IDENTITY_CHECKS` | 154,540 | 11 | 12 | 2.6 MiB |
| `XX_COURIER_VIOLATIONS` | 112,326 | 9 | 12 | 1.8 MiB |
| `XX_COURIER_WAITS` | 21,842,232 | 22 | 12 | 713.9 MiB |
| `XX_CUSTOMER_ACCOUNT_EVENTS` | 818,350 | 20 | 12 | 22.1 MiB |
| `XX_CUSTOMER_DEVICES` | 9,778,766 | 13 | 1 | 148.5 MiB |
| `XX_CUSTOMER_SESSIONS` | 283,206,289 | 16 | 12 | 4.3 GiB |
| `XX_DELIVERY_ASSIGNMENTS` | 72,820,396 | 11 | 12 | 1.2 GiB |
| `XX_DELIVERY_ATTEMPTS` | 1,971,172 | 17 | 12 | 31.5 MiB |
| `XX_DELIVERY_LEGS` | 69,510,237 | 26 | 12 | 3.4 GiB |
| `XX_DEVICES` | 9,394,404 | 13 | 1 | 260.6 MiB |
| `XX_DISPATCH_ASSIGNMENTS` | 124,712,184 | 18 | 12 | 1.9 GiB |
| `XX_DISPUTES` | 58,537 | 17 | 12 | 1.3 MiB |
| `XX_DRIVER_LOCATION_OBSERVATIONS` | 134,480,113 | 8 | 12 | 1.3 GiB |
| `XX_DRIVER_PROFILES` | 81,116 | 18 | 1 | 1.1 MiB |
| `XX_DRIVER_QUESTS` | 145,600 | 16 | 1 | 1.8 MiB |
| `XX_DRIVER_SHIFTS` | 6,102,273 | 15 | 12 | 118.2 MiB |
| `XX_ENFORCEMENT_ACTIONS` | 11,065 | 17 | 1 | 70.8 KiB |
| `XX_EXPERIMENT_ASSIGNMENTS` | 8,062 | 24 | 12 | 327.2 KiB |
| `XX_FRAUD_WARNINGS` | 24,037 | 16 | 12 | 763.9 KiB |
| `XX_GL_INTERFACE_HIST` | 492,089,977 | 9 | 36 | 1.6 GiB |
| `XX_HOTSPOT_SNAPSHOTS` | 109,009 | 7 | 12 | 403.9 KiB |
| `XX_INCENTIVE_COMMITMENTS` | 51,985,486 | 26 | 12 | 1.5 GiB |
| `XX_INGESTION_RUNS` | 16,720 | 19 | 1 | 417.1 KiB |
| `XX_INTEGRATION_INCIDENTS` | 23,873 | 15 | 12 | 578.3 KiB |
| `XX_INTERFACE_ERRORS` | 2,237 | 20 | 1 | 60.4 KiB |
| `XX_IP_ADDRESSES` | 2,665,687 | 17 | 1 | 18.5 MiB |
| `XX_LOGIN_ATTEMPTS` | 33,214,593 | 15 | 12 | 660.2 MiB |
| `XX_MARKETPLACE_ESTIMATES` | 2,605,900 | 22 | 12 | 38.1 MiB |
| `XX_MEMBERSHIP_EVENTS` | 21,178,841 | 19 | 12 | 358.1 MiB |
| `XX_MEMBERSHIP_ORDER_BENEFITS` | 44,815,297 | 19 | 12 | 698.4 MiB |
| `XX_MERCHANT_CLOSURES` | 367,997 | 17 | 1 | 4.8 MiB |
| `XX_MERCHANT_HANDOFF_CONFIRMATIONS` | 27,909,875 | 6 | 12 | 293.6 MiB |
| `XX_MERCHANT_HOLIDAY_HOURS` | 87,710 | 14 | 1 | 662.9 KiB |
| `XX_MERCHANT_HOURS` | 125,314 | 15 | 1 | 869.5 KiB |
| `XX_MERCHANT_INTEGRATIONS` | 17,902 | 23 | 1 | 334.8 KiB |
| `XX_MERCHANT_OPS_ACTIONS` | 3,444 | 26 | 12 | 193.6 KiB |
| `XX_MERCHANT_RATING_SNAPSHOTS` | 5,072,584 | 14 | 12 | 18.2 MiB |
| `XX_MERCHANT_READY_REPORTS` | 79,167,242 | 20 | 12 | 1.0 GiB |
| `XX_MERCHANT_REGULATORY_EVENTS` | 12,273 | 15 | 1 | 199.0 KiB |
| `XX_ORDER_PREP_QUOTES` | 80,908,384 | 16 | 12 | 1.0 GiB |
| `XX_ORDER_PROMISES` | 71,535,421 | 3 | 12 | 418.7 MiB |
| `XX_ORDER_REJECTIONS` | 427,040 | 18 | 12 | 8.0 MiB |
| `XX_ORDER_STATUS_HIST` | 482,054,407 | 13 | 12 | 2.1 GiB |
| `XX_PAYMENT_AUTHS` | 86,015,831 | 16 | 12 | 1.5 GiB |
| `XX_PAYMENT_INSTRUMENTS` | 7,357,570 | 16 | 1 | 129.5 MiB |
| `XX_PAYOUT_PERIODS` | 499 | 16 | 1 | 18.2 KiB |
| `XX_PAY_PERIOD_INCENTIVES` | 53 | 32 | 1 | 16.8 KiB |
| `XX_PREP_ESTIMATE_LOG` | 36,588,947 | 18 | 12 | 964.4 MiB |
| `XX_PROMOTION_ALLOCATIONS` | 34,097,654 | 18 | 12 | 416.4 MiB |
| `XX_PROMOTION_CHECKOUTS` | 99,173,355 | 11 | 12 | 1.2 GiB |
| `XX_PROMOTION_CONTACTS` | 30,685,899 | 12 | 12 | 288.9 MiB |
| `XX_PROMOTION_DECISIONS` | 13,530 | 22 | 12 | 552.9 KiB |
| `XX_PROMOTION_SUBMISSIONS` | 42,666,911 | 8 | 12 | 439.7 MiB |
| `XX_PROMOTION_VARIANTS` | 223 | 14 | 1 | 9.6 KiB |
| `XX_PROMO_ATTEMPTS` | 35,040,794 | 20 | 12 | 704.4 MiB |
| `XX_PROMO_CODES` | 34,106 | 20 | 1 | 786.1 KiB |
| `XX_QUEST_INVITATIONS` | 15,762,145 | 14 | 1 | 243.6 MiB |
| `XX_QUEST_PROGRESS` | 5,211,466 | 17 | 1 | 43.6 MiB |
| `XX_QUEST_WINDOWS` | 145,600 | 14 | 1 | 2.4 MiB |
| `XX_REFERRALS` | 508,522 | 15 | 1 | 13.1 MiB |
| `XX_REFUNDS` | 1,875,438 | 20 | 12 | 59.2 MiB |
| `XX_REVIEWS` | 9,521,121 | 16 | 12 | 166.3 MiB |
| `XX_SUPPLY_FORECASTS` | 568,764 | 22 | 1 | 17.0 MiB |
| `XX_SUPPLY_SNAPSHOTS` | 1,972,007 | 8 | 12 | 8.5 MiB |
| `XX_SUPPORT_CASES` | 7,365,600 | 30 | 12 | 195.4 MiB |
| `XX_TIP_ADJUSTMENTS` | 164,010 | 14 | 12 | 3.0 MiB |
| `ZX_LINES` | 79,212,056 | 21 | 12 | 406.7 MiB |
| `ZX_LINES_DET_FACTORS` | 79,212,056 | 22 | 12 | 384.6 MiB |
| `ZX_RATES_B` | 1 | 18 | 1 | 5.5 KiB |
| `ZX_RATES_TL` | 1 | 9 | 1 | 3.0 KiB |
| `ZX_REGIMES_B` | 1 | 13 | 1 | 4.1 KiB |
| `ZX_REGIMES_TL` | 1 | 9 | 1 | 3.0 KiB |
| `ZX_TAXES_B` | 1 | 15 | 1 | 4.6 KiB |
| `ZX_TAXES_TL` | 1 | 9 | 1 | 3.0 KiB |

</details>

## License

CC BY 4.0.