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catyung/cre-cmbs-loans

Commercial Real Estate Loans (CMBS, SEC ABS-EE) 2,313 commercial properties securitised across 22 CMBS trusts, assembled from the SEC's Regulation AB Exhibit 102 asset-level filings. Each row is one property backing a commercial mortgage: name, address, type, size, occupancy, largest tenant, the loan against it, the appraisal, and the property's revenue, expenses and net operating income. LTV and debt yield are derived from those. Provenance Source filings are SEC… See the full description on the dataset page: https://huggingface.co/datasets/catyung/cre-cmbs-loans.

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Commercial Real Estate Loans (CMBS, SEC ABS-EE)

2,313 commercial properties securitised across 22 CMBS trusts, assembled from the SEC's Regulation AB Exhibit 102 asset-level filings.

Each row is one property backing a commercial mortgage: name, address, type, size, occupancy, largest tenant, the loan against it, the appraisal, and the property's revenue, expenses and net operating income. LTV and debt yield are derived from those.

Provenance

Source filings are SEC ABS-EE Exhibit 102 submissions, which are US government public records. This build reads the parquet mirror published by DenyTranDFW and unions one reporting period per trust.

Columns

column	meaning
`property_name`, `property_address`, `city`, `state`, `county`, `zip_code`	location
`property_type`	ABS-EE code: OF office, RT retail, MF multifamily, IN industrial, LO lodging, SS self storage, MH manufactured housing, MU mixed use, WH warehouse, HC health care, 98 other
`net_rentable_sq_ft`, `year_built`, `occupancy_pct`	the asset
`largest_tenant`, `largest_tenant_sq_ft`	tenancy
`originator`, `deal_name`	who lent, and the trust it sits in
`loan_amount`, `interest_rate_pct`, `loan_term_months`, `origination_date`, `maturity_date`	the loan
`appraised_value`, `revenue`, `operating_expenses`, `net_operating_income`, `net_cash_flow`	valuation and performance
`ltv_pct`, `debt_yield_pct`	derived

Built for a natural-language-to-SQL demonstration.